associate, ml data operations, go-ai operations Jobs in Chennai

associate, ml data operations, go-ai operations

software engineer

data engineer

application engineer

engineering manager

machine learning engineer

NielsenIQ

<div>
 
 Company Description
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;.
 
 
 
 Job Description
 
 
 
 NIQ is seeking a highly skilled and experienced ML Engineer to join our dynamic team. As ML Engineer at NIQ, you will play a crucial role in developing advanced AI/GenAI models and algorithms to solve business problems. You will collaborate closely with cross-functional teams to design, build, and deploy scalable AI/GenAI solutions.
 
 
 
 Location:
 
 India &ndash; Chennai
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement AI/GenAI models and algorithms using Python programming language, jointly with knowledge about PyTorch/Tensorflow, Pandas, LangChain, and similar AI/GenAI libraries.
 </li>
 <li>
 Utilize AI/ML fundamentals, including deep learning, optimization techniques, NLP, and Large Language Models (LLMs), to solve real-world problems.
 </li>
 <li>
 Work closely with engineers, researchers and data scientists to gather requirements, perform data analysis, and develop end-to-end AI pipelines.
 </li>
 <li>
 Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions.
 </li>
 <li>
 Optimize and fine-tune AI/GenAI models for performance and efficiency.
 </li>
 <li>
 Collaborate with cloud computing teams to deploy AI/GenAI models on cloud platforms, preferably Azure.
 </li>
 <li>
 Utilize SQL for data Extraction, Transformation, and Loading (ETL) processes.
 </li>
 <li>
 Stay updated with the latest advancements in AI/GenAI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
 </li>
 <li>
 Proven experience 5+ years working as a ML Engineer or similar role.
 </li>
 <li>
 Strong proficiency in Python programming language.
 </li>
 <li>
 In-depth knowledge of AI/ML fundamentals, including deep learning, optimization techniques, NLP, and LLMs.
 </li>
 <li>
 Experience with cloud computing platforms (knowledge of Azure is a plus).
 </li>
 <li>
 Familiarity with SQL for data manipulation and analysis.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Ability to thrive in a fast-paced, dynamic environment.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge projects at the forefront of technology.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Continuous learning and professional development opportunities.
 
 
 </li>
 </ul>
 
 Our Benefits
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 About NIQ
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
</div>

Machine Learning Engineer

<div>
 
 Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
 
 
 
 D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
 
 
 
 Fiche De Poste
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines key data sources from UPS and external sources to deliver models.
 </li>
 <li>
 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
 </li>
 <li>
 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
 </li>
 <li>
 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
 </li>
 <li>
 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
 </li>
 <li>
 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
 </li>
 <li>
 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
 </li>
 <li>
 Presents operationalized analytic findings and provides recommendations.
 </li>
 <li>
 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
 </li>
 <li>
 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in R, SQL, Python and/or any other high-level languages.
 </li>
 <li>
 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
 </li>
 <li>
 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
 </li>
 <li>
 Experience applying models from small to medium scaled problems.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
 </li>
 <li>
 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
 </li>
 <li>
 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
 </li>
 <li>
 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
 </li>
 <li>
 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
 </li>
 <li>
 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
 </li>
 <li>
 Familiarity with Java or C++ is a plus.
 </li>
 <li>
 Solid oral and written communication skills, especially around analytical concepts and methods.
 </li>
 <li>
 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
 </li>
 <li>
 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
 </li>
 </ul>
 
 Last Day Posted - 2/25/2024
 
 
 
 
 Type De Contrat
 
 
 
 en CDI
 
 
 
 Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.
 
</div>

Data Scientist

Dun & Bradstreet

<div>
 
 Key Responsibilities:
 
 <ul>
 <li>
 Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
 </li>
 <li>
 Generate Analytical Insights on various customer portfolios
 </li>
 <li>
 Develop Predictive Solutions using advanced statistical techniques to enable better decision making
 </li>
 <li>
 Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, and development of new capabilities
 </li>
 <li>
 Proficiency in using Machine Learning techniques
 </li>
 <li>
 Collaborate with Technology teams to implement analytical solutions and models
 </li>
 <li>
 Work with stakeholders in providing additional analysis based on specific needs
 </li>
 <li>
 Work on newer strategic initiatives focused on LLMs and GenAI
 </li>
 </ul>
 
 
 
 
 Key Requirement:
 
 <ul>
 <li>
 2 to 5 years of relevant experience in Data Science roles
 </li>
 <li>
 Good working knowledge on Gen AI
 </li>
 <li>
 Strong programming skills in tools such as Pyspark, Python, SQL to manipulate data and conduct statistical analysis
 </li>
 <li>
 Knowledge of Python packages and GCP / AWS / Databricks
 </li>
 <li>
 Sound Knowledge and proven experience on application of Statistical / Machine Learning techniques
 </li>
 <li>
 Experience in BFSI domain / Statistical Modelling &amp; Validation is an added advantage
 </li>
 <li>
 Ability to interpret and translate data into meaningful business insights
 </li>
 <li>
 Good working knowledge on LLMs
 </li>
 <li>
 Excellent verbal, written communication, and presentation skills.
 </li>
 </ul>
</div>

Capgemini Engineering

<div>
 
 
 Data Scientist / Analyst
 
 
 
 
 Location:
 
 Chennai
 
 
 
 Experience:
 
 4 to 10 years
 
 
 
 
 
 
 Your Role
 
 
 
 
 
 
 As a Data Scientist / Analyst, you will play a key role in modeling vessel behavior, analyzing fleet health, and supporting sustainability metrics through advanced analytics and machine learning. You will work with large datasets and cloud-based tools to deliver predictive insights and contribute to operational efficiency and environmental goals.
 
 
 
 
 
 
 In this role, you will:
 
 
 
 
 
 <ul>
 <li>
 Model vessel behavior and operational patterns using statistical and machine learning techniques
 </li>
 <li>
 Analyze fleet health to identify trends, anomalies, and areas for improvement
 </li>
 <li>
 Develop predictive maintenance and anomaly detection models
 </li>
 <li>
 Support sustainability initiatives by modeling and tracking relevant environmental metrics
 </li>
 <li>
 Utilize AWS services such as SageMaker and Athena for scalable data processing and analysis
 </li>
 <li>
 Write efficient data queries and scripts using Python, R, and SQL
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into analytical solutions
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 8&ndash;10 years of experience in data science, analytics, or a related field
 </li>
 <li>
 Proficiency in Python, R, and SQL for data analysis and modeling
 </li>
 <li>
 Experience with machine learning techniques including predictive maintenance and anomaly detection
 </li>
 <li>
 Hands-on experience with AWS SageMaker and Athena
 </li>
 <li>
 Strong understanding of sustainability metrics and their application in analytics
 </li>
 <li>
 Excellent analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to communicate insights clearly to technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Love About Working Here
 
 
 
 
 
 <ul>
 <li>
 Flexible work arrangements and a supportive work-life balance
 </li>
 <li>
 Inclusive and collaborative culture with opportunities for growth
 </li>
 <li>
 Access to cutting-edge technologies and certifications
 </li>
 <li>
 Opportunity to contribute to sustainability-focused and high-impact projects
 </li>
 </ul>
 
 
 
 
 
 About Capgemini
 
 
 
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transformation to address the evolving needs of customers and citizens. With a strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs&mdash;from strategy and design to operations.
 
 
 To achieve this, Capgemini draws on the capabilities of its 360,000 team members in more than 50 countries, all driven by the purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization with market-leading capabilities in digital, cloud, and data.
 
 
 
</div>

Data Scientist / Analyst

dentsu

<div>
 We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights
 
 
 
 Job Description:
 
 
 
 Key responsibilities:
 
 
 <ul>
 <li>
 Modeling &amp; Machine Learning
 </li>
 <li>
 Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems).
 </li>
 <li>
 Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.).
 </li>
 <li>
 Work on feature engineering, model interpretability, and performance optimization.
 </li>
 <li>
 Data-Driven Business Strategy
 </li>
 <li>
 Partner with stakeholders to identify key opportunities where data science can drive business value.
 </li>
 <li>
 Translate business problems into data science projects with clearly defined deliverables and success metrics.
 </li>
 <li>
 Provide actionable recommendations based on data analysis and model outputs.
 </li>
 <li>
 Analytics and Experimentation
 </li>
 <li>
 Conduct deep-dive exploratory analysis to uncover trends and insights.
 </li>
 <li>
 Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness
 </li>
 <li>
 Design and analyze A/B tests and other experiments to support product and marketing decisions.
 </li>
 <li>
 Automate data pipelines and dashboards for ongoing monitoring of model and business performance.
 
 
 
 </li>
 </ul>
 
 Technical
 
 
 Skills:
 
 
 
 <ul>
 <li>
 Languages: Proficient in Python, MySQL.
 </li>
 <li>
 Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch.
 </li>
 <li>
 Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis
 </li>
 <li>
 Databases : PostgreSQL, BigQuery, MySQL.
 </li>
 <li>
 Visualization: Plotly, Seaborn, Matplotlib.
 </li>
 <li>
 Deployment: Experience in Gitlab, CI/CD pipelines(Good to have).
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have).
 
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 Chennai
 
 
 
 Brand:
 
 
 
 Paragon
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 
 Contract Type:
 
 
 
 Permanent
</div>

Senior Account Manager -Data Science

Datacore Technologies

<div>
 
 Role: AI/ML Developer
 
 
 Location: Chennai/Pune
 
 
 Work Mode: Hybrid
 
 
 YOE: 6+ Years
 
 
 
 
 
 Job Description:
 
 
 6+ years overall experience, including 4+ years in AI/ML
 
 
 Proficiency in Python, ML, NLP, and text data analysis
 
 
 Hands-on experience with API creation, RAG, Vector databases, LLM prompt engineering, LLM evaluation
 
 
 Familiarity with MLOps tools and practices, including:
 
 
 &bull; Monitoring and evaluation tools like LangSmith
 
 
 &bull; LLM deployment libraries like LiteLLM, LLM Guardrails, and more
 
 
 &bull; CI/CD, model versioning, and model deployment best practices
 
 
 Knowledge of or willingness to learn Kubernetes and cloud services (AWS/GCP/Azure)
 
 
 
</div>

Logitech

<div>
 Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
 
 
 Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
 
 
 Location: Chennai, India
 
 
 Team: Marketing Digital Transformation
 
 
 Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory)
 
 
 Experience Level: 8+ years
 
 
 
 
 About the Role:
 
 
 
 
 We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences.
 
 
 
 
 Your Contribution:
 
 
 
 
 Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you&rsquo;ll need for success at Logitech
 
 
 In this role you will:
 
 
 <ul>
 <li>
 Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution).
 </li>
 <li>
 Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts.
 </li>
 <li>
 Build, evaluate and deploy predictive models using Python and associated data science libraries
 </li>
 <li>
 Develop reproducible data science workflows and analysis in Jupyter Notebooks
 </li>
 <li>
 Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations
 </li>
 <li>
 Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions
 </li>
 <li>
 Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments
 </li>
 <li>
 Work with structured and unstructured data; design and manage efficient data pipelines and database structures
 </li>
 <li>
 Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data.
 </li>
 <li>
 Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure.
 
 
 </li>
 </ul>
 
 
 Career Path &amp; Growth Opportunities:
 
 
 
 
 Visible Growth Path:
 
 
 <ul>
 <li>
 Team members can witness real, measurable career progression.
 </li>
 <li>
 Many have advanced to pivotal roles, contributing to the development of digital office features and organizational transformation, especially in data analytics..
 
 
 </li>
 </ul>
 Cross-Functional Experience:
 
 
 <ul>
 <li>
 Hands-on integration: Collaborate on aligning commercial, marketing, and customer data platforms across different domains.
 </li>
 <li>
 Strategic exposure: Transition these data assets into a scalable Snowflake platform, a modern cloud-based data warehousing framework.
 
 
 </li>
 </ul>
 Cultural Strength:
 
 
 <ul>
 <li>
 Ownership/accountability: Volunteer for initiatives that require leadership.
 </li>
 <li>
 Curiosity and critical thinking: Embrace curiosity by exploring new technologies or data methodologies and aim to ask insightful questions to navigate challenges creatively and unlock opportunities.
 
 
 </li>
 </ul>
 
 
 Key Qualifications:
 
 
 
 
 
 
 Education &amp; Experience:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Engineering, or a related field.
 </li>
 <li>
 Minimum of 8 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics
 
 
 </li>
 </ul>
 
 
 Technical and Human Skills:
 
 
 
 
 <ul>
 <li>
 Strong proficiency in Python for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design
 </li>
 <li>
 Proficiency with SQL and strong understanding of data structures and databases
 </li>
 <li>
 Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda&hellip;)
 </li>
 <li>
 Experience with Tableau or similar dashboarding/BI tool
 </li>
 <li>
 Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation
 </li>
 <li>
 Advanced professional proficiency in English, both written and verbal.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment
 </li>
 <li>
 Strong communication skills with the ability to present and engage with non-technical stakeholders
 
 
 </li>
 </ul>
 Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
 
 
 Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don&rsquo;t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
 
 
 We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can&rsquo;t wait to tell you more about them being that there are too many to list here and they vary based on location.
 
 
 All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
 
 
 If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
 
 
</div>

Explore 43+ Machine learning engineer in Chennai this September. Find roles across top companies and apply now to boost your career.

43 machine learning engineer jobs IN Chennai

Machine Learning Engineer

Data Scientist

Data Scientist

Data Scientist / Analyst

Senior Account Manager -Data Science

Data Scientist

Data Scientist