OPS Engineer Salary in India - PayScale

DESCRIPTIONLooking for a career at a company that seeks to be Earth’s most customer-centric company? If so, meet Amazon. Over the past 20 years, Amazon has reinvented on behalf of customers and has become the largest internet retailer and marketplace in the world. Through our entrepreneurial culture, Amazon has developed new technologies and products (like Echo) and, enterprise services (like Amazon Web Services). NOC (Network Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon's transportation network. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving, NOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, NOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Responsibilities of a NOC PM We are looking for an experienced Program Manager to coordinate and lead efforts across operations, and program teams. We're looking for a hands-on and motivated self-starter who's passionate about using data to help us measure every area of the business, drive efficiencies, optimizations and influence decision-making. In this role, the manager will work with stakeholders from multiple partner team to manage last mile channel & improve channel performance. From operational perspective, the manager would be expected to lead and manage a team of associates in shift-based (day/afternoon/night) system. The Program Manager would be responsible to evolve the processes and mechanisms with the growing complexities in the network by working across multiple stakeholders like configuration and design teams. The individual will drive improvements to the reporting tools, methods, and processes utilized by the team to increase the availability and granularity of actionable data to internal and external partners. This position also manages the planning and execution of the team’s goals, including segmentation of business goals, measurement of goal attainment, evolving and driving various improvements in Business to increase its effectiveness in driving results. They would drive quality and productivity in the team via continuous coaching and feedback mechanisms, scope out team's career development plans through performance assessment, drive associate engagement through 1-1s and team building activities, dive deep and drive action on insights from connection scores, manage exceptions and prepare dive deeps on escalations from Ops, represent the team in Business reviews (WBRs/MBRs), strategize and implement the associate shift planning and rostering to effectively meet the program requirements. The successful candidate must have very strong analytical skills and expert in excel. Knowledge of SQL would be an added advantage. He/she will be passionate about their work, detail-oriented, analytical, and have excellent problem-solving abilities. He/she will have superb communication and customer-relationship skills, outstanding analytic insight, and be a passionate advocate of operations team to other stakeholders.. They will drive towards simple, scalable solutions to difficult problems, have excellent project-management skills, and be able to communicate complex analytical results, both written and verbally, in a clear and easy-to-understand way.Key job responsibilities 1+ years of Amazon (blue badge/FTE) experience Has a background in quantitative decision making, ability to drive business/operations metrics, and driving adoption of different tools and resources. Exceptional written and verbal communication skills with the ability to create compelling positioning / messaging strategy and present complex information clearly and concisely High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision Strong analytical, mediation and problem resolution skills. · Has managed critical operational processes, with end to end business responsibility Demonstrated leadership with a bias towards action, supporting a culture of ownership and learning Skilled in collaborative management environment, succeeding through regular meetings and clear formal and informal communication with members of the remote and local management teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 1+ years of employee and performance management experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidaysPREFERRED QUALIFICATIONS- 1+ years of performance metrics, process improvement or lean techniques experience

Requisition Number: 95672Job Title: Cloud Engineer III (Linux)About Insight:Founded in 1998, Insight is headquartered in Chandler, Arizona, USA and has more and has more than 13000+ Teammates worldwide with global presence in Canada, United Kingdom, Germany, Australia, India, Singapore and many more. With offices in the prime location :Gurgaon and Bangalore we have 1000+ teammates operating from India. As a Fortune 500:ranked global provider of Digital Innovation, Cloud Data Center Transformation and Supply Chain Optimization solutions and services, we help clients successfully manage their IT today while transforming for tomorrow, recognized for its excellence.About the team: IMCS Infrastructure Ops team provide support to the customer 24X7. We have a team of L2/L3/Technical Lead. Ops team have capability in multiple technologies such as Azure IaaS, PaaS, Windows, Linux, AWS, Kubernetes and DevOps. As cloud experts, we work on incidents, Service Requests and Change requests. It's our responsibility to manage server, storage, networking and other cloud hosted resources. Also, we make sure to provide the best solution for the customer. Ops team perform periodic assessment to ensure continuous improvement in client infrastructure. The ensure that servers are security compliance by installing regular updates.Responsibilities :1. Provide technical support and expertise for customers' cloud environments.2. Diagnose and resolve complex technical issues related to cloud infrastructure, networking, storage.3. Analyze and troubleshoot performance:related problems in cloud services and recommend optimization strategies.4. Handle incidents and service requests within defined SLAs, ensuring proper documentation and resolution.5. Participate in on:call rotation and provide after:hours support as needed.6. Conduct root cause analysis and provide detailed incident reports to prevent recurring issues.7. Assist in the development and maintenance of knowledge base articles, FAQs, and best practice guides.8. Assist with disaster recovery planning and testing to ensure business continuity.9. Support customers with cloud migrations, VMware on Azure, Cost Optimization and performance tuning.Qualification: 1. Min Experience: 5+ Years in core Linux Administration2. Strong general Linux Administration skills including shell scripting (bash)3. Must have Redhat RHCE or Redhat RHCSA certification.4. A good understanding of networking.5. Familiarity with low level network protocols and able to interpret a packet trace.6. Familiar with all the major components of an internet facing network (DNS, load balancer, proxy, reverse proxy, firewall, VPN etc.)7. Should have working knowledge of Web server, Ldap server, Proxy Server8. Experience in samba, NFS, Redhat Clusters.9. Good understanding of SSL and certificates10. Experience working in a cloud environment.11. Excellent communication skills and problem:solving skills12. Good to have cloud (Azure / Aws) knowledge.Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 and 25 A Gurugram Gurgaon Hr India

DESCRIPTIONThe Amazon transportation controllership team is looking for a Senior Data Engineer who is data-driven and detail oriented, to partner in expanding our financial data systems to support our global transportation network. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountabilityKey job responsibilities- Architect and develop end to end scalable data infrastructure and data pipelines- Develop data products, deploy highly performant solutions, build data infrastructure leveraging AWS services (such as EC2, Redshift, EMR, Lambda, Quicksight etc.)- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to data pipelines.- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.- Provide technical and thought leadership for Data Engineering and Business Intelligence- Create and implement Data Governance strategy for mitigating privacy and security risks- Design, implement, and support a platform providing secured access to large datasets.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete data solutions.- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way- Analyze and solve problems at their root, stepping back to understand the broader context.- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWSA day in the lifeWork with the largest dataset in logistics management anywhere in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen Ai and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.About the teamTrans Controllership in Finance is one of the most challenging and exciting spaces to work for, with new geographies, new modes and new carriers being launched every day and being required to seamlessly integrate with the Transportation technical systems for automatic Ingestion of Freight invoices, thorough auditing, timely payment and for proper accounting to keep our books clean and accurate. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- - Design & Implementation of automated data contract and data quality enforcement mechanisms- - Expertise at least in 1 data Orchestration tool- - Working experience in CDKPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses- Master's degree- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Knowledge of distributed systems as it pertains to data storage and computing- - Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- - Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering- - Strong understanding and experience with DBMS internals.- - Strong understanding of system performance and scaling- - Knowledge on LLM and Gen Ai.

We help the world run betterOur company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose:driven and future:focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply nowSAP Product Support is a global organization of more than 2500 people with a vision of Delighting customers, always. We deliver industry leading product support anytime, anywhere, through any channel and from any device to maximize customers' success with their SAP solutions. We also provide Next:Generation Support through real time channels with a personalized support experience where we anticipate customer needs, accelerate their path to answers and collaborate for their success.What you will doAs part of SAP Product Support, you will be working on supporting our customers who are using SAP S4HANA Procurement module (SAP S4HANA Private Cloud Edition and OP releases). Primarily, you would be handling their issues related to logistics, inventory management, invoice verification, purchasing, and their configurations with many more tasks as below:- Analyze and resolve customer issues- Perform root cause analysis and provide solutions for customer problems- Provide direct technical assistance for customers via our Customer Service System(ABAP debugging, Fiori analysis, verifying of complex customizing)- Work effectively with colleagues and customers from all around the world- Recommend known technical solutions and develop workarounds for corrective action- Extend the internal and external Knowledge Base- Act as a customer advocate by working directly with customers on high priority issues to deliver timely resolution and capture customer feedback to influence process/product improvements.What You'll bring- Experience in Logistics, MM / SAP S/4HANA Sourcing and Procurement- Experience with SAP ERP Systems- ABAP Programming skills- Experience in cloud computing is a plus- Strong problem solving, organizational, and analytical skills- Proven ability to manage multiple tasks or projects with changing priorities. Enjoys and thrives on performing multiple tasks and responsibilities at once- Knowledge of logistics and production processes is an advantage- Strong ability to capture a complete and accurate problem/symptom description of reported issues- Ability to successfully troubleshoot and narrow down reported issues, identify root causes, and find creative solutions to effectively address customer concerns.- Exceptional written and oral communication skills. Strong ability to listen to and work with customers in real:time to resolve issues- Can do attitude and team playerMeet your teamSAP S4HANA Sourcing and Procurement is a business process in ERP which helps customers in managing procurement activities of an organization.A lot of learning about SAP On:Prem and Cloud Products. You get an opportunity to make your career in one of the great places to work and work with SAP's large customer base directly.SolutionSupportEngT1We build breakthroughs togetherSAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end:to:end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are pu

DESCRIPTIONAre you looking to join a team that is among the fastest growing organizations at Amazon? Does wearing multiple hats and working in a fast-paced, challenging environment sound like a good fit? Then consider joining the Amazon Advertising Trust team. You will be solving difficult non-deterministic workflows, work with highly scaled systems, and build technological frameworks/systems that keeps raising the bar on quality. Amazon Advertising Trust team is committed to enable the fastest growing advertising business in the world, while upholding customers and advertisers trust.We are seeking a talented and experienced Machine Learning Operations Engineer to join our dynamic team. As an ML Ops Engineer, you will play a critical role in bridging the gap between data science and IT operations, ensuring the smooth deployment, scaling, and maintenance of machine learning models in a production environment. You will work closely with data scientists, software engineers, and DevOps teams to streamline the machine learning lifecycle and optimize the performance of our AI applications.Key job responsibilitiesModel Deployment and Scaling: * Deploy and manage machine learning models in production environments. * Implement scalable and reliable systems to handle model inference at scale. * Work on containerization and orchestration solutions for model deployment.Automation and Continuous Integration/Continuous Deployment (CI/CD): * Develop and maintain automated pipelines for model training, testing, and deployment. * Implement CI/CD practices to enable rapid and reliable model updates.Infrastructure Management: * Collaborate with Engineering/DevOps teams to optimize infrastructure for machine learning workloads. * Manage and monitor machine learning infrastructure, ensuring high availability and performance.Monitoring and Logging: * Implement robust monitoring and logging solutions for tracking model performance and system health. * Respond to alerts and troubleshoot issues related to model deployment and infrastructure.Security and Compliance: * Implement security best practices for machine learning systems. * Ensure compliance with data protection and privacy regulations.Collaboration with Data Science and Engineering Teams: * Collaborate with data scientists to understand model requirements and deployment constraints. * Work closely with software engineers to integrate machine learning models into applications.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDBASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience scripting in modern program languages- Experience troubleshooting and debugging technical systemsPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience with REST web services, XML, JSON- Familiarity with cloud platforms (e.g., AWS) and infrastructure-as-code.

BASIC QUALIFICATIONS- High school or equivalent diplomaDESCRIPTIONThe Facility Engineer with be responsible for Data Center Engineering Operations within an Amazon Data Center including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting. Responsibilities include: - Participate in a 24/7 rotating shift pattern - Assist for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed, is in accordance with established practices, procedures & local legislation. - Maintain performance benchmarks, conduct analyses & prepare reports on all aspects of the critical facility infrastructure operations & maintenance. - Generate Change Management requests & Incident Management tickets for events that DCEO are responsible to manage. - Work with DC managers (IT) and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency. - Contribute to documentation relevant to business & facility operations. - Responsible for the installation of the racks and the provision of power/cooling within it's constraints. - Be involved with the management of both routine maintenance and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Assist in the design, implementation, commissioning and build out of new facilities. - Assist with the management of the Facility assets and the provision of infrastructure & inventory asset management. - Attend and participate in regular Construction & Operational Meetings as required. - Assist with Work Order compliance to ensure all contractual SLA's are achieved. - Interface with Infra Ops teams for day to day operational requirements. - Assist in the resolution of any infrastructure engineering or services issue. - Delivery of exceptional customer service and satisfaction.We are open to hiring candidates to work out of one of the following locations:Sydney, NSW, AUSPREFERRED QUALIFICATIONS- 2+ years of data center engineering experienceAcknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement:Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.Salary: . Date posted: 04/12/2024 10:11 PM

BASIC QUALIFICATIONS- 5+ years of directly managing and responsible for multiple large projects experience- Bachelor's degree- Experience and strong technical background in relevant fields of automated or non-automated material handling equipmentDESCRIPTIONAmazon is at the forefront of innovation within the space of fulfillment technology and robotics. We areseeking an innovative and solutions-oriented Operations Engineer to be a part of our global effort todevelop and deliver the next generation of world-class technology systems inside our fulfillment centers in Australia.In the Mechatronics & Sustainable Packaging Customer Experience organization, we have the uniquerole and privilege to work backwards from our customer needs and represent their voice through theentire products' lifecycle (from product development, to deployment, to support & service), embodyingAmazon's leadership principle: Customer Obsession. We raise the bar on the readiness of newtechnologies in deployment and on the performance of those already in production; our mission is totransform "stand-alone work-cells" into "end-to-end integrated solutions" that are safe, easy-to-operate,easy-to-maintain, easy-to-deploy, and easy-to-service.Successful candidates will have strong experience in technology development and testing in the mechatronics area and be highly motivated individuals who have several years of experience in development and testing of mechanical and mechatronics equipment.This position is responsible for the schedule, scope and cost planning for large scale fulfillmenttechnology and robotics projects into both live and new fulfillment centers across Australia. As anSr. Operations Engineer, your primary role is to own the coordination and execution of definition, installation,commissioning, deployment, ramp up and support of the MSP products in the field. In parallel to theexecution, you will be responsible for driving continuous improvement ideas into both the deployment cycle time (safety, quality and productivity), and will be responsible for detailing engineering design improvements to the hardware engineering and product teams, to simplify the installation. This role will require the ability to build relationships and capture and synthesize the voice of the customer.Come help us make history!Flexible locations across AUS.Key job responsibilities-You will manage the development of project plans and technical solutions which may be defined-You will Influence internal and external partner teams and suppliers-You will own the strategical definition of the technologies and the tactical planning on the installation of difficult cross-functional projects with considerable impact across the functions of schedule, scope, cost and product performance. Projects may span organizations or geographies in support of a business objective, and includes the management of contractors and vendors-You will support the strategy of your program/product for annual planning of resources and budget, defining deployment plans of record and continuous improvement goals. This includes setting standards, driving mechanisms and delivering efficiencies across both deployment execution and machine performance, based on your own observations and the voice of the customer-You will own communication of program execution and performance both verbally and in writing, consolidating inputs across multiple internal cross-functional business teams-This is a travel-based role and you will be expected to travel to meet the requirements of your projects across Australia, upwards of 75% or moreA day in the lifeIn this role you will be focused on two primary lines of effort. The first is to monitor AUS Voice of the Customer and determine which MSP technologies can intercept local needs, the second is products deployment, ramp up and support Project Management. On a daily basis you will be expected to collaborate with hardware engineering, technical program and product managers, and internal customers including site maintenance and operations teams, to ensure the product you are deploying, is both ready for deployment and capable of achieving the business requirements. You will travel to your project sites, collaborate both virtually and in person, to ensure all business stakeholders are aligned on program status. You will manage the day to day project scheduling and budget management, and workon continuous improvement activities to improve the projects in your space. You will spend time with mentors and your manager to develop your professional skills, and collaborate amongst your team to move the needle on the services you are accountable for.About the teamThe CX (Customer Experience) team within Mechatronics & Sustainable Packagingworks backwards from Internal Customer insights to (1) Validate, (2) Deploy and (3) Support MSP solutions globally, maximizing solutions readiness and customer satisfaction. MSP CX maintains unified accountability in the field towards our internal Customers (Maintenance, Operations, ACES, Process Engineering, GES Ops Engineering, etc.), enabling vertical integration and life-cycle management of MSP solutions across 3 pillars: (1) Quality Assurance, (2) Deployment & Ramp-up, and (3) Support. (1) MSP CX Quality Assurance is a new team under establishment that will own qualifying and testing MSP solutions, and validating they are ready to launch; it will adopt a comprehensive and continuous approach to qualification, beginning at the earliest stages of one's lifecycle to represent Customer requirements and continues through all future changes towards the latest stage of deprecation, working backwards from Customer needs. This team will tightly partner both within MSP (with the product, development and scale teams) and outside MSP (with Ops, RME, PE, ACES, GES, etc.). (2) MSP CX Deployment & Ramp-up leads on-site implementation activities providing continuity from early field-Alphas/prototypes, through Betas, and up to General Availability (GA) through the first few months of site ramp-up. (3) MSP CX Support provides Technical, Safety, Operations, and Maintenance Support for MSP solutions that have graduated to Production.We are open to hiring candidates to work out of one of the following locations:Melbourne, VIC, AUSPREFERRED QUALIFICATIONS- Master's degree in engineering, mechanical, operations, supply chain, business administration, or equivalent STEM field- Experience in Lean Management, Six Sigma and other operations engineer toolsAcknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement:Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.Salary: . Date posted: 04/18/2024 10:11 PM

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Shift timings - RegularAbout General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. The awards and recognition we've received showcase our commitment to be a force for good:• World's Most Admired Companies, Fortune 2022 • America's Most Responsible Companies, Newsweek 2022 • 100 Best Corporate Citizens, 3BL 2021 • Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022 • 100 Best Companies, Seramount 2021 • Diversity Best Practices Leading Inclusion Index, Seramount 2021 • Best Companies for Dads, Seramount 2021 • Best Companies for Multicultural Women, Seramount 2021 • Top 10 Companies for Executive Women, Seramount 2021 • Military Friendly Employer Bronze, VIQTORY 2021 • Best Place to Work, Canada, Greater Toronto, 2021 • Top 50 - India's Best Workplaces for Women, 2021 • Top Workplaces in Brazil, 2021 • Asia's Best Workplaces, 2021Hungry for What's Next We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need your unique perspectives: your quirks, 'crazy' ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We've learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding- that only happens when you surround yourself with those who are hungry for what's next. For more details check out www.generalmills.comGeneral Mills India Centre General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development.Digital and Technology team Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leveraged to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our MillsWorks initiative is where we bring agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents.Our service partnerships and employee engagement are centered on advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in "Work with Heart". Work with Heart is focused on results, not facetime. If you are passionate about the latest in technology and want to make an impact on the digital transformation journey of a Fortune 500 company, we're waiting for you. Job Overview Role: Sr ML Engineer (Sr. Machine Learning Engineer) Location: Mumbai General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer to join the Enterprise Data Capabilities Organization. This team builds enterprise level scalable and sustainable data and model pipelines to serve the analytic needs of business impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, entails model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.This capability is leveraged to fuel advanced Analytical solutions, Machine Learning and Deep Learning. It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills.This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency. Role Responsibilities Establish and Implement MLOps practices: Development of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools Management of data pipelines including config, ingestion and transformation from multiple data source like Big Query, Dbt & Google cloud storage etc Meta Data and statistics Data pipeline setup using GCP Bucket and MLMD Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI Serving Pipeline with multiple creation Vertex AI and GCP services Resource and Infra Monitoring configuration and pipeline development using GCP Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool Branching strategies and Version Control using GitHub ML Pipeline orchestration and configuration using DAG and Workflow orchestration using airflow/cloud Code refactorization & coding best practices implementation as per industry standard Technology-Stack suggestion based on 360 Deg Implementing MLOps practices on project and follow the set MLOps Support the ML models throughout the E2E MLOps lifecycle from development to maintenance Architecture: Micro Services Architecture and framework Development concept Agile software Development concept Architecture Design for HLD, LLD and Solution design Team Mentoring: Programming language Pattern Design implementation Review projects PR and PBIs and suggestion for improvement Knowledge sharing session with team for specific ML Ops Guide/Mentor team members for MLOps framework development Research, Evolve and Publish best practices: Research and operationalize technology and processes necessary to scale ML Ops Ability to research and recommend MLOps best practices on new technologies, platforms, and MLOps pipeline improvement plan and suggestion Communication and Collaboration: Collaborate with technical teams like Data Science Lead, Data Scientist, Data Engineer and Platform Knowledge sharing with the broader analytics team and stakeholders is Communicate on the on-goings to embrace the remote and cross geography Align on the key priorities and focus Ability to communicate the accomplishments, failures, and risks in timely manner. Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetup Documentation: Document MLOps Process, Development, Architecture & Innovation etc and be instrumental in reviewing the same for other team members Must - have technical skills and experience Minimum qualification- Bachelor's degree (Full Time) Total Experience required 12-15 Years Expertise and at least 5 Years of professional experience in MLOps E2E framework Expertise in Data Transformation and Manipulation through Big-Query/SQL Professional experience Vertex AI and GCP Services Expertise in one of the programming Language Python/R Airflow/Cloud composer Experience Kubernetes/Kubeflow Experience MLflow Professional experience TFX Professional experience Docker -container Experience At least 5yrs of professional experience in the related field of Data Science Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic Good to have skills GCP certifi ca tion Understanding of CPG industry Bcsic understanding of dbt AutoML Concept Machine Learning -Concept of Algorithms Deep Learning- Concept of Algorithms Time Series Analysis- Concept of Algorithms Skill proficiency expectations Expert level Intermediate Level Basic Level • ML Ops E2E framework • Big Query/SQL • Python / R • Vertex AI and GCP Services • Docker-Container • Kubeflow/Kubernetes • TFX • Airflow • MLflow • GitHub • Strong communication skills • Machine Learning and Deep Learning algorithms • Agile techniques • Demonstrates teamworking skills. • Mentor others and lead best practices. • Micro Services concept • Power BI, Tableau, Looker • Good to have domain knowledge: Consumer Packed Goods industry and data sources • Analytic toolset- dbt, atscale, neo4j, AtlassianCOMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.Salary: . Date posted: 04/18/2024 01:23 PM

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Shift timings - RegularAbout General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. The awards and recognition we've received showcase our commitment to be a force for good:• World's Most Admired Companies, Fortune 2022 • America's Most Responsible Companies, Newsweek 2022 • 100 Best Corporate Citizens, 3BL 2021 • Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022 • 100 Best Companies, Seramount 2021 • Diversity Best Practices Leading Inclusion Index, Seramount 2021 • Best Companies for Dads, Seramount 2021 • Best Companies for Multicultural Women, Seramount 2021 • Top 10 Companies for Executive Women, Seramount 2021 • Military Friendly Employer Bronze, VIQTORY 2021 • Best Place to Work, Canada, Greater Toronto, 2021 • Top 50 - India's Best Workplaces for Women, 2021 • Top Workplaces in Brazil, 2021 • Asia's Best Workplaces, 2021Hungry for What's Next We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need your unique perspectives: your quirks, 'crazy' ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We've learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding- that only happens when you surround yourself with those who are hungry for what's next. For more details check out www.generalmills.comGeneral Mills India Centre General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development.Digital and Technology team Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leveraged to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our MillsWorks initiative is where we bring agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents.Our service partnerships and employee engagement are centered on advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in "Work with Heart". Work with Heart is focused on results, not facetime. If you are passionate about the latest in technology and want to make an impact on the digital transformation journey of a Fortune 500 company, we're waiting for you. Job Overview Role: Sr ML Engr (Sr. Machine Learning Engineer) Location: Mumbai General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer to join the Enterprise Data Capabilities Organization. This team builds enterprise level scalable and sustainable data and model pipelines to serve the analytic needs of business impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, entails model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.This capability is leveraged to fuel advanced Analytical solutions, Machine Learning and Deep Learning. It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills.This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency. Role Responsibilities Establish and Implement MLOps practices: Development of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools Management of data pipelines including config, ingestion and transformation from multiple data source like Big Query, Dbt & Google cloud storage etc Meta Data and statistics Data pipeline setup using GCP Bucket and MLMD Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI Serving Pipeline with multiple creation Vertex AI and GCP services Resource and Infra Monitoring configuration and pipeline development using GCP Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool Branching strategies and Version Control using GitHub ML Pipeline orchestration and configuration using DAG and Workflow orchestration using airflow/cloud Code refactorization & coding best practices implementation as per industry standard Technology-Stack suggestion based on 360 Deg Implementing MLOps practices on project and follow the set MLOps Support the ML models throughout the E2E MLOps lifecycle from development to maintenance Architecture: Micro Services Architecture and framework Development concept Agile software Development concept Architecture Design for HLD, LLD and Solution design Team Mentoring: Programming language Pattern Design implementation Review projects PR and PBIs and suggestion for improvement Knowledge sharing session with team for specific ML Ops Guide/Mentor team members for MLOps framework development Research, Evolve and Publish best practices: Research and operationalize technology and processes necessary to scale ML Ops Ability to research and recommend MLOps best practices on new technologies, platforms, and MLOps pipeline improvement plan and suggestion Communication and Collaboration: Collaborate with technical teams like Data Science Lead, Data Scientist, Data Engineer and Platform Knowledge sharing with the broader analytics team and stakeholders is Communicate on the on-goings to embrace the remote and cross geography Align on the key priorities and focus Ability to communicate the accomplishments, failures, and risks in timely manner. Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetup Documentation: Document MLOps Process, Development, Architecture & Innovation etc and be instrumental in reviewing the same for other team members Must - have technical skills and experience Minimum qualification- Bachelor's degree (Full Time) Total Experience required 12-15 Years Expertise and at least 3yrs of professional experience in MLOps E2E framework Expertise in Data Transformation and Manipulation through Big-Query/SQL Professional experience Vertex AI and GCP Services Expertise in one of the programming Language Python/R Airflow/Cloud composer Experience Kubernetes/Kubeflow Experience MLflow Professional experience TFX Professional experience Docker -container Experience At least 5yrs of professional experience in the related field of Data Science Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic Good to have skills GCP certifi ca tion Understanding of CPG industry Bcsic understanding of dbt AutoML Concept Machine Learning -Concept of Algorithms Deep Learning- Concept of Algorithms Time Series Analysis- Concept of Algorithms Skill proficiency expectations Expert level Intermediate Level Basic Level • ML Ops E2E framework • Big Query/SQL • Python / R • Vertex AI and GCP Services • Docker-Container • Kubeflow/Kubernetes • TFX • Airflow • MLflow • GitHub • Strong communication skills • Machine Learning and Deep Learning algorithms • Agile techniques • Demonstrates teamworking skills. • Mentor others and lead best practices. • Micro Services concept • Power BI, Tableau, Looker • Good to have domain knowledge: Consumer Packed Goods industry and data sources • Analytic toolset- dbt, atscale, neo4j, AtlassianCOMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.Salary: . Date posted: 04/18/2024 01:22 PM

BASIC QUALIFICATIONS- 2+ years of electrical or mechanical, or 2+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience- Strong verbal and written communication skills.- Strong leadership and organizational skills.- Strong attention to detail.- Ability to prioritize in complex, fast-paced environment.- Familiar with the concepts and interaction of Service Management systems (Problem & Change)- Experience with the development of MOPs & SWMS for planned works- Physical Security protocol awareness- Computer literate, confident with Office SuiteDESCRIPTIONThe Facility Engineer with be responsible for Data Center Engineering Operations within an Amazon Data Center including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting. Responsibilities include: - Participate in a 24/7 rotating shift pattern - Assist for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed, is in accordance with established practices, procedures & local legislation. - Maintain performance benchmarks, conduct analyses & prepare reports on all aspects of the critical facility infrastructure operations & maintenance. - Generate Change Management requests & Incident Management tickets for events that DCEO are responsible to manage. - Work with DC managers (IT) and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency. - Contribute to documentation relevant to business & facility operations. - Responsible for the installation of the racks and the provision of power/cooling within it's constraints. - Be involved with the management of both routine maintenance and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Assist in the design, implementation, commissioning and build out of new facilities. - Assist with the management of the Facility assets and the provision of infrastructure & inventory asset management. - Attend and participate in regular Construction & Operational Meetings as required. - Assist with Work Order compliance to ensure all contractual SLA's are achieved. - Interface with Infra Ops teams for day to day operational requirements. - Assist in the resolution of any infrastructure engineering or services issue. - Delivery of exceptional customer service and satisfaction.We are open to hiring candidates to work out of one of the following locations:Sydney, NSW, AUSPREFERRED QUALIFICATIONS- 2+ years of data center engineering experience- Degree or Technical (Military/ Trade School) Degree and relevant experience- Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.Acknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement:Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.Salary: . Date posted: 04/22/2024 10:50 PM