Machine Learning Engineer Salary in India - PayScale

DESCRIPTIONDo you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses.Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include product bundle recommendations for millions of products, safeguarding financial transactions across by building the risk models, improving catalog quality via extracting product attribute values from structured/unstructured data for millions of products, enhancing address quality by powering customer suggestionsWe are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML.Key job responsibilitiesUse machine learning and analytical techniques to create scalable solutions for business problemsAnalyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processesDesign, develop, evaluate and deploy, innovative and highly scalable ML modelsWork closely with software engineering teams to drive real-time model implementationsWork closely with business partners to identify problems and propose machine learning solutionsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceWork proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in productionLeading projects and mentoring other scientists, engineers in the use of ML techniquesAbout the teamInternational Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwideWe are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDBASIC QUALIFICATIONS- 5+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software development

You are an experienced data scientist who combines thought leadership and innovation with practical action, is skilled at building and leading highly effective teams, and is adept at forging strong working partnerships across organizational, functional, and hierarchical boundaries. You understand and reinforce the corporate culture of balancing fast, relevant, and effective delivery, with appropriate stakeholder partnership and coordination, and conformance with all applicable controls, policies, and procedures.Key Responsibilities Build and manage team with responsibility for developing and delivering AI/ML solutions to support HR product areas Leverage AI/ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences. Drive internal development, promote reuse and partnership of AI/ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate Partner with Workforce Technology to architect and implement scalable, cost effective, enterprise quality data and analytics systems Ensure conformance with all applicable controls, policies, and procedures Requirements Significant relevant expertise and experience in data science Demonstrated management skills in leading data scientists MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes Leadership and executive presence - demonstrated credibility as a thought leader and influencer Strong project management skills - track record of driving execution and delivery Excellent communications skills - can concisely, clearly, and accurately share ideas About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.Human Resources plays a critical role in driving the employee experience, shaping the firm's culture and building a diverse and inclusive workforce. We are a strategic partner to the business - working with leaders across the firm to hire, develop and retain the best people and help meet business goals. Together, we foster a work environment in which our people are supported, feel like they belong and are able to make an impact through their work. We develop and deliver a suite of products and services that help make JPMorgan Chase an employer of choice and drive our business forward.Salary: . Date posted: 04/04/2024 10:30 PM

CIB Applied AI & Machine Learning - Digital & Platform Services Operations About J.P. Morgan Corporate & Investment Bank J.P. Morgan's Corporate & Investment Bank is a global leader across banking, markets, securities services and wholesale payments. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. About Data Analytics within Corporate & Investment Bank Data Analytics at J.P. Morgan Corporate Investment Bank combines cutting edge machine learning techniques with the company's unique data assets to optimize all the business decisions we make. In this role, you will be part of our industry-leading data analytics team, and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making. The role will be in the firm's Applied AI and Machine Learning organization and will involve working closely with Digital & Platform Services Operations. The successful candidate will apply data analytics techniques from both traditional statistics and machine learning to a combination of third party, publicly available and J.P. Morgan proprietary datasets, with the goal of answering questions relevant to Operations. About Operations The Digital & Platform Services Operations teams support the Corporate & Investment Bank and its partners and functions including Technology, Data Science, Client Service, Product and Platform as well as other businesses and stakeholders across the firm. Responsibilities Collaborate with Operations teams to formulate relevant financial and business questions that can be answered by data analysis. Research and analyze data sets using a variety of statistical and machine learning techniques. Communicate final results and give context. Document approach and techniques used. Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases. Collaborate with other J.P. Morgan machine learning teams. Required Technical Qualifications, experience & behaviors MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, or similar BS with experience in a highly quantitative position. Hands-on experience analyzing data. Strong ability to develop and debug in Python or similar professional programming language. Problem solving and collaboration skills. Should be able to work both individually and collaboratively in teams, in order to achieve project goals. Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems. Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model's performance which are aligned with business goals. Must be able to independently research and propose alternatives with some guidance as to problem relevance. Must be able to undertake basic and advanced EDA, may require some direction from more senior team; should be aware of limitation and implication of methodology choices. Ensures re-use and sharing of ideas within team and locale. Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders. Nice to Have Ideally, some experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels). Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. Shows institutional awareness and some understanding of applied problem solving, may require coaching and guidance as to how to most rapidly reach satisfactory conclusion. About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamThe Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.Salary: . Date posted: 04/10/2024 10:30 PM

Organization DescriptionOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.Employer DescriptionJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase is an Equal Opportunity Employer, including Disability/VeteranJob DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer specializing in Machine Learning and Cloud Technologies at JPMorgan Chase within the Corporate Technology- Consumer & Community Bank Risk group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.Job responsibilities Design Enterprise Machine Learning platforms that are capable of running predictive models Provides Technical Leadership, guidance and direction to other team members Writes secure and high-quality code using the syntax of at least one programming language with python, Java Establish standards, guidance and best practices for the technical aspects in the team Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Leverages Cloud services to build ML pipeline to implement, deploy and produce Machine Learning Models Work with Business stakeholders and Product Owners to understand requirements. Work with Site Reliability Engineer for any infrastructure/production changes. Ingests data from multiple sourcesRequired qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Attitude to learn new technologies. Passionate about building an innovative culture Experience in programming languages such as Python/Java. Understands/learn the basic architecture of Cloud services and usage. Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive. Experience working with databases such as Oracle or Cassandra. Exposure to Agile and scrum methodologies. Familiarity with CI/CD, Application Resiliency, and Security. Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.Preferred qualifications, capabilities, and skills Knowledge of any of the technologies like Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS. Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.Salary: . Date posted: 04/12/2024 10:26 PM

BASIC QUALIFICATIONS- Bachelor's degree, or equivalent experience with 8+ years in HR/ business partnering. - Demonstrates business and HR acumen, including problem-solving skills, critical thinking, and analytical acuity.- Proficient in partnering effectively with senior leaders through skillful navigation of ambiguous situations using strategic planning and effective project management. - Communication, coaching and influencing skills across diverse counterparts across levels. - Is able to work independently, as well as on teams.DESCRIPTIONInternational and Emerging Stores (IES) is looking for a Sr. HRBP to support senior Tech and ML (machine learning) leaders in India. The role holder will be a trusted advisor to org leaders, overseeing talent management, organizational design and effectiveness, workforce planning, employee development and engagement, among other HR efforts. The role will also provide opportunities to lead and participate in cross-org Tech/ ML programs and initiatives within IES. The position requires communication, strategic planning, business acumen, and adaptability in a fast paced and innovative setting. Key job responsibilities- Partner with senior management to champion organizational and people focused initiatives in order to achieve strategic business goals. - Provide impactful management coaching to business leaders to and senior managers.- Demonstrate analytical capabilities and influence stakeholders through compelling data-driven recommendations.- Develop thoughtful, integrated approaches to promote diversity and inclusion in talent attraction, development and retention- Plan, manage and provide continuous improvement to all aspects of the client organization and leadership review process and the strategic objectives therein. This includes managing large-scale cyclical talent processes while also diving into the details of nuanced employee-specific questions and concerns.- Ruthlessly prioritizing and identifying tradeoffs to stay focused on the highest impact work. We are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDPREFERRED QUALIFICATIONS- Master's Degree in Human Resources Management or related field. - HR experience supporting Tech teams or in a Tech company. - Experience working with global and distributed teams. - Demonstrated agility in thriving within fast-paced and innovative environments.Salary: . Date posted: 04/16/2024 09:45 AM

Every great story has a new beginning, and yours starts here. Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Machine Learning Engineer - ML ( Content and Ad platform ), Bangalore About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles & Responsibilities: The role will focus on building out machine learning solutions for WBD's content and Ad platform. Primary focus will be on unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale.You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)Lead design and development of machine learning systems.Build end to end ML pipelines to train, deploy and server ML models at scale.Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.Ensure that technical solutions are in line with established WBD Digital strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement. What to Bring : 9-13 years of experience designing, building machine learning algorithms and systems.Proficiency in programming languages such as Java, Golang, Python or Scala.Good understanding of Distributed systems, design and architecture.Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.Experience with Deep Learning,NLP, LLMs, Reinforcement Learning, Causal Inference. good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...).Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).Experience with offline experimentation and A/B testing.Understanding of batch and streaming data processing techniques.Knowledge of AWS or similar cloud platforms.PhD or Masters in Computer Science or related discipline. What We Offer: A Great Place to work.Equal opportunity employerFast track growth opportunities How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. The Legal Bits... Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]: . Date posted: 04/11/2024 03:46 AM

Location Details:Australia, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days)and some work entirely remotely. This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our Team GoDaddy is looking for a Senior Machine Learning Scientist to join our Generative AI and Machine Learning Team. We are using the latest generative AI models and technologies to accelerate the success of over 20 million small business entrepreneurs globally. Our team has built and deployed at-scale generative AI solutions in the area of social media post and video creation, logo generation and conversational experiences. As a Senior Machine Learning Scientist, you will be part of a global team, and use generative AI and Machine Learning models to improve existing customer-facing products, as well as build innovative new experiences, that will have a direct impact on the businesses of millions of entrepreneurs! What you'll get to do... Build Generative AI models and applications for intelligent business applications, social media post and design applications, logo generation systems, intelligent assistants and conversational experiences and more Provide technical leadership, identify and understand key business challenges and opportunities, and develop end-to-end software solutions using ML and AI Articulate and understand a business problem, identify challenges, formulate the ML problem and provide/prototype solutions Collaborate extensively with internal partners, program management, and engineering team to ensure that solutions meet business needs Collect and process large volumes of data; build new and improved techniques and/or solutions for data collection, management, and usage Communicate results in a comprehensible manner to all levels of the company Brainstorm and collaborate with other team members Your experience should include... 5+ years of experience in an industry role in Machine Learning 5+ years of experience working with live data (data cleaning, data visualisation and modelling) Hands-on experience with Deep Learning Neural Network technologies and training and fine-tuning models (PyTorch or TensorFlow) Hands-on experience working with Natural Language Processing (NLP) and Transformer model architectures Strong experience working with Computer Vision models Strong experience with Python Experience working in an agile environment, and iteratively deploying AI / Machine Learning systems iteratively Experience with documenting, synthesising, and communicating results Ability to read and implement ground breaking techniques, algorithms and models from academic papers and industry You might also have... Bachelor's Degree in Computer Science, Engineering, or a related field Experience with working with frontier Large Language Models (LLM) such as OpenAI/Anthropic, etc. Experience building information search, retrieval and ranking systems and recommendation systems Experience with data engineering and building data pipelines and working with data lakes (e.g. Airflow) Experience with Image Diffusion models such as Stable Diffusion Experience working with Cloud Technologies such as AWS (e.g. SageMaker, Glue, etc.) and using Infrastructure as Code to deploy solutions We've got your back... We offer a range of benefits that may include paid time off, retirement savings (e.g., 401k, pension schemes), incentive eligibility, equity grants, participation in an employee stock purchase plan, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process. We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us . At GoDaddy, we know diverse teams build better products-period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day-focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page . GoDaddy is proud to be an equal opportunity employer . GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy. Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to [email protected]. GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.Salary: . Date posted: 04/16/2024 10:05 PM

Every great story has a new beginning, and yours starts here. Welcome to Warner Bros. Discovery... the stuff dreams are made of. Who We Are... When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Machine Learning Engineer - ML ( Content and Ad platform ), Bangalore About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next... From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles & Responsibilities: The role will focus on building out machine learning solutions for WBD's content and Ad platform. Primary focus will be on unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale.You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)Lead design and development of machine learning systems.Build end to end ML pipelines to train, deploy and server ML models at scale.Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.Ensure that technical solutions are in line with established WBD Digital strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement. What to Bring : 9-13 years of experience designing, building machine learning algorithms and systems.Proficiency in programming languages such as Java, Golang, Python or Scala.Good understanding of Distributed systems, design and architecture.Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.Experience with Deep Learning,NLP, LLMs, Reinforcement Learning, Causal Inference. good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...).Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).Experience with offline experimentation and A/B testing.Understanding of batch and streaming data processing techniques.Knowledge of AWS or similar cloud platforms.PhD or Masters in Computer Science or related discipline. What We Offer: A Great Place to work.Equal opportunity employerFast track growth opportunities How We Get Things Done... This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. The Legal Bits... Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [email protected]: . Date posted: 04/10/2024 05:11 PM

The Applied AI and Machine Learning team at JP Morgan Corporate Investment Bank combines cutting edge machine learning techniques with the company's unique data assets to optimize the business decisions we make. In this role, you will be part of our industry-leading data analytics team and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making. Our work spans the Corporate Investment Banking, with exceptional opportunities in each line of business. The team covers a wide array of activities whether internally or externally focused: Controls, Compliance, Legal, Finance functions, Operations and Digital Investment Banking. Job responsibilities: Conduct end-to-end research such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications, communicating the significance of research, and deploying the models following all relevant processes and governance. Anticipate and consider risks when building machine learning solutions and prediction/classification systems. Build and train production grade ML models on large-scale datasets to solve various business use cases for the firm. Develop quantitative and machine learning models for markets data. Develop methodologies for AI/ML model explainability. Analyze trading data, patterns, and trends to detect potential market anomalies. Work with Markets technology to identify and investigate data gaps and curate datasets for modeling. Drive complex projects that require cross-organizational alignment and collaboration. Required qualification, capabilities, and skills Master's, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Expertise in Time Series Analysis, Forecasting, Statistics Markets domain knowledge and Experience working with equities, bonds, or commodities trading data Experience with SQL and Q query language for KDB Experience with quantitative methods in finance: Probabilistic modeling; Liquidity profiling; Reinforcement Learning; Optimization methods. Experience with Network Analysis Experience with opensource models, machine learning APIs and computational packages. Strong written and oral communication and interpersonal skills Programming experience with Python. Proficient in git version control About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamThe Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.Salary: . Date posted: 04/17/2024 10:27 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