279 Tensorflow jobs in Chennai

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

JOB SUMMARY
This position 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
• Defines key data sources from UPS and external sources to deliver models.
• 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. 
• For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts 
• Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
• Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
• 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.
• Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
• Presents operationalized analytic findings and provides recommendations.
• 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
• 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.

QUALIFICATIONS
Requirements: 

•Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product.

• Strong analytical skills and attention to detail. 
• Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
• Expertise with statistical techniques, machine learning or operations research and their application in business applications.
• Expertise in R, SQL, Python.
• Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale.
• Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. 
• Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
• Solid oral and written communication skills, especially around analytical concepts and methods. 
• Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.
• Master’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.

Preferences:
• Familiarity with Java or C++

Employee Type:
 

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

JOB SUMMARY
This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department.

RESPONSIBILITIES
• Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs.
• Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques.
• Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs.
• Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs.
• Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques.
• Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise.
• Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions.
• Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions.
• Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies.
• Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals.

QUALIFICATIONS
Requirements: 
• Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
• Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) 
• Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms.
• Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail.
• Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) 
• Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. 
• Master’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. 

Employee Type:
 

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Summary:

UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships.

Responsibilities:

• Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI
• Be actively involved in understanding and converting business use cases to technical requirements for modelling.
• Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc.
• Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling.
• Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance.
• Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications.
• Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams.

Qualifications

• Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc.
• Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning.
• Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle.
• Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline.
• Solid oral and written communication skills, especially around analytical concepts and methods.
• Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.
• Master’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.

Bonus Qualifications

• NLP, Gen AI, LLM knowledge/experience
• Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc.
• Knowledge and experience in MLOps principles and tools in GCP.
• Experience working in an Agile environment, understanding of Lean Agile principles.

Employee Type:
 

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Are you a skilled AI enthusiast looking to gain hands-on experience in the dynamic field of artificial intelligence? Look no further Join our team at P.R. GLolinks Consulting as an AI intern and dive into the world of AI, Machine Learning, NLP, Python, and Deep Learning.

Selected Intern's Day-to-day Responsibilities Include

• Collaborate with our team to develop and implement AI solutions.
• Conduct research and analysis to support the development of cutting-edge AI technologies.
• Assist in the design and optimization of AI algorithms and models.
• Work on data preprocessing and feature engineering tasks to prepare data for AI applications.
• Participate in testing and debugging AI systems to ensure optimal performance.
• Stay up-to-date on the latest advancements in AI technology and provide insights to the team.
• Contribute to the overall success of our AI projects through your creativity and problem-solving skills.

If you are passionate about AI and eager to make a real impact, apply now and take the first step towards a rewarding career in artificial intelligence with P.R. GLolinks Consulting

About Company: P.R. GLOlinks Consulting is a specialist, two-decade-old vendor-independent right-sourcing business and technology consultant. We assist clients to assess and manage the risks associated with global expansion programs and seamlessly integrate the processes to ensure business continuity. One of the major challenges in establishing a captive center is finding the right people quickly and efficiently, designing competitive compensation benefits packages, creating India-specific HR policies, etc.

To address these critical needs, PRGLO's division works with clients as a successful, independent HR consultant and talent search entity, enabling organizations to establish in the shortest time frames. We consider ourselves partners of growth.

We are looking for a skilled AI/ML Developer with hands-on experience in Model Context Protocol (MCP) and a strong foundation in machine learning and generative AI. The ideal candidate will be responsible for designing and deploying intelligent systems that leverage contextual modeling and protocol-driven architectures to enhance AI performance and scalability.

Work Location : UK

Key Responsibilities:

Model Context Protocol (MCP):

- Design and implement MCP-based architectures to manage context-aware AI workflows.

- Develop protocols for model interaction, chaining, and orchestration across services.

- Ensure consistency and traceability of context across model executions.

AI/ML Development:

- Build and train ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn.

- Work on NLP, computer vision, or tabular data problems depending on business needs.

- Fine-tune and deploy LLMs using platforms like Hugging Face, Azure OpenAI, or LangChain.

- Implement MLOps pipelines for model lifecycle management.

Cloud & Integration:

- Deploy models and MCP workflows on cloud platforms (Azure, AWS, GCP).

- Integrate AI services with enterprise applications via APIs and microservices.

- Optimize model performance for latency, scalability, and cost-efficiency.

Required Skills:

- Strong programming skills in Python (preferred), with experience in ML libraries.

- Experience with GenAI tools and frameworks (LangChain, Semantic Kernel, etc.).

- Understanding of MCP principles and context-aware model design.

- Familiarity with cloud-native development and containerization (Docker, Kubernetes).

Preferred Qualifications:

- Experience with vector databases (e.g., FAISS, Pinecone, Weaviate).

- Knowledge of prompt engineering and retrieval-augmented generation (RAG).

- Exposure to enterprise AI use cases in BFSI, healthcare, or manufacturing.

Soft Skills:

- Strong analytical and problem-solving mindset.

- Excellent communication and documentation skills.

- Ability to work independently and collaborate with cross-functional teams.

An excellent opportunity for AI Engineers to join our team.

Welcome to WhiteBlue!

We are an exclusive cloud services company, transforming the world with digital technology. We excel in serving the customers with the right experienced, certified professional cloud talent. We are passionate about creating world class human capital which has Hands-on Cloud experience to build, migrate and support complex Cloud environments. We are keen in providing tailored services and solutions for each customer. We measure our success based on the business outcomes we deliver.

What Are We?

We are a pioneering AI-native enterprise transformation company, revolutionizing businesses through intelligent automation and data-driven innovation. We specialize in deploying experienced, certified AI and cloud professionals who architect scalable AI-first solutions using cutting-edge technologies like Retrieval-Augmented Generation (RAG), agentic automation, and modern infrastructure frameworks. We are passionate about building world-class AI capabilities that enable enterprises to harness autonomous intelligent systems for complex business operations. We focus on delivering bespoke AI modernization strategies and intelligent solutions tailored to each organization's unique digital transformation journey. Our success is measured by the tangible AI-driven business outcomes and operational intelligence we deliver to our clients

Job Description:

• 3+ years of experience in C# and .NET Core
• Must have at least 6 months of recent experience in developing AI Agents using Semantic Kernel
• Excellent knowledge in C#
• Good knowledge in Generative AI and LLM (Azure OpenAI preferred)
• Good knowledge in Semantic Kernel and the different Agent orchestration patterns available
• Good knowledge in Agentic AI concepts
• High level awareness of various AI related services available on Azure
• Knowledge in Copilot Studio would be added advantage
• Having Azure AI Engineer Associate certification (AI-102) would be added advantage

Location: Chennai

Job Type: Work From Office

Job Title: AI Intern

Company: Entrans & Thunai

Location: WFO

Job Description:

An AI intern assists in developing and implementing AI solutions, performing data analysis, and collaborating with experienced AI engineers and data scientists. The role may involve machine learning model development, natural language processing (NLP), computer vision, or other AI-related tasks.

Responsibilities:

1. AI Model Development: Assist in building and optimizing machine learning models. Prepare datasets by performing data cleaning and preprocessing.

2. Research and Data Analysis: Research new AI technologies and methodologies. Analyze and process large datasets to uncover meaningful insights.

3. Testing and Evaluation: Assist in testing models to ensure they function as expected. Identify and address potential issues.

4. Collaboration: Work with engineers, data scientists, and other teams to align AI solutions with project goals.

5. Documentation: Document AI experiments, code, and model architectures for future reference and reporting.

6. Language Models: In roles focused on generative AI, assist in designing and fine-tuning prompting strategies and orchestrating agent workflows.

Qualifications:

Technical Skills:

1. Education: Student or recent graduate in Computer Science, Data Science, Applied Mathematics, or a related field.

2. Programming: Proficiency in Python, with experience using libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.

3. Machine Learning: Solid understanding of ML concepts, algorithms, and neural networks.

4. Data Handling: Familiarity with data manipulation, cleaning, and preprocessing techniques.

5. Databases and Cloud Computing: Knowledge of SQL and experience with cloud platforms like AWS, Google Cloud, or Azure is a plus.

Soft Skills:

1. Problem-Solving and Critical Thinking: Ability to analyze problems and devise innovative solutions.

2. Communication: Strong verbal and written communication skills.

3. Teamwork and Collaboration: Ability to work well within cross-functional teams.

4. Adaptability and Curiosity: Strong desire to learn and keep up with a rapidly evolving field

Position Summary:

Knorr-Bremse, the global leader in braking systems and rail/vehicle safety solutions, is building its AI Center of Excellence in Chennai to accelerate innovation across its Rail and Truck business.

We are seeking a visionary Generative AI Scientist to act as the crucial bridge between complex business challenges and the frontiers of artificial intelligence. This is a role for a lead/senior applied scientist who not only understands the deep, foundational principles of AI but can also critically assess its practical limitations and business viability.

You will be responsible for the entire lifecycle of our most ambitious AI initiatives: from conducting feasibility studies on nascent business ideas to performing rigorous literature surveys (research papers, patents), proposing solutions, and justifying their value in concrete financial terms (OPEX/CAPEX). Crucially, you will determine not just what AI can do, but what it shouldn't do, guiding the company toward high-impact, achievable projects.

The ideal candidate combines the mind of a researcher with the pragmatism of a business strategist, capable of translating a business need into a technical hypothesis and owning the outcome from conception to post-deployment success.

Essential Functions:

• Translate Business Challenges into Viable AI Solutions: Lead feasibility studies for proposed AI applications (e.g., General & Administrative (G&A) work, Domain Specific Compliance Checks like mobility compliance adherence, AI application in manufacturing). Translate ambiguous business requirements into precise technical problems and hypotheses. Conduct comprehensive literature surveys, reviewing academic papers and patents to inform solution design and identify state-of-the-art approaches.
• Critically Assess AI Feasibility and Limitations: Serve as the expert on the practical boundaries of LLMs and Generative AI. Identify risks and clearly articulate what aspects of a problem are well-suited for current AI capabilities and which are not, preventing investment in unfeasible projects.
• Design Authority : Own end-to-end technical and process design for AI/ML and agentic AI solutions, ensuring alignment with business objectives and scalability across Knorr-Bremse’s global operations. Design and build proof-of-concept systems based on a first principles understanding of Advanced RAG, multi-agent architectures, and fine-tuning techniques. Develop rigorous evaluation frameworks to benchmark system performance against business-relevant metrics.
• Hands-on AI Development : Drive research and development in areas such as agentic AI frameworks, computer vision, multimodal learning, time-series optimization, and generative AI for embedded and industrial applications.
• Innovation & IP Creation : Develop cutting-edge algorithms, publish high-impact research, and contribute to patents/IP that strengthen Knorr-Bremse’s technological leadership.
• Mentorship & Team Leadership : Lead, mentor, and inspire a team of AI scientists and engineers; build a high-performance research culture that bridges academia and industry.
• Entrepreneurial Execution : Champion rapid prototyping, proof-of-concept development, and large-scale deployment of AI solutions in collaboration with cross-functional teams (R&D, IT, Cloud, Security, Business).
• Collaboration & Scaling : Work closely with internal stakeholders and technology partners (AWS, Microsoft, Google) to leverage multicloud AI stacks for scalable deployment.
• Governance & Best Practices : Establish standards for AI design, evaluation, and deployment, ensuring robust, ethical, and cost-efficient AI solutions.

Skills:

1. Technical & Scientific Skills:

• Foundational AI Expertise : Profound understanding of transformer architectures, attention mechanisms, and the theoretical underpinnings of LLMs.

• Critical Assessment of Model Capabilities : Deep, practical knowledge of the inherent limitations of LLMs (e.g., factual consistency, complex reasoning, susceptibility to hallucination, handling of structured data) to accurately determine problem feasibility.

• Expertise in RAG and Fine-Tuning : Mastery of the mechanics of RAG (dense/sparse retrieval, re-ranking) and various fine-tuning methods (PEFT, LoRA), including their theoretical trade-offs.
• Research Acumen : Proven ability to rapidly consume, critique, and synthesize information from academic papers and patents to inform practical solutions. Multiple patents, peer-reviewed publications.
• Strong Programming & Foundations : Python (Expert); strong grasp of algorithms and system design. Strong expertise in Agentic AI frameworks (Google ADK, MCP Agent, LangGraph, etc.) and LLM vendors (Azure OpenAI, Google Gemini, etc.). Proficiency in deep learning & ML frameworks (PyTorch, Scikit-learn, MLFlow, Vertex AI, Kubernetes).

1. Behavioral Competencies:

• Business Acumen & Pragmatism: A strong ability to connect technical possibilities with business value, balancing innovation with practical constraints, costs, and timelines.
• First-Principles Thinker: A deep-seated curiosity to understand *why* systems work and fail, enabling robust problem diagnosis and solution design.
• Intellectual Honesty: The confidence to advise against a project when the technology is not a good fit, and the ability to clearly articulate the risks and unknowns.
• Ownership Mentality: A proactive, accountable approach to the entire project lifecycle, from initial idea to long-term performance.
• Excellent Communication: Can articulate complex technical concepts, business justifications, and system limitations to audiences ranging from engineers to senior executives.

Strong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Knorr-Bremse AG.

Experience:

• Experience: 7-12 years of applied AI/ML research and development, with proven impact in industrial, mobility, or large-scale enterprise settings.
• Track record of patents, publications, or IP creation in AI/ML.
• Strong team leadership and mentoring experience.
• Entrepreneurial, innovative, and execution-focused mindset.
• Proven track record of leading AI projects from business concept to production.
• Demonstrable experience conducting feasibility studies and translating business requirements into technical AI roadmaps.

Education:

• Education: Master’s or PhD in Data Science, AI/ML, Operations Research, Computer Science, or related fields (IIT/IIM or equivalent preferred).

Position Requirements:

• Ability to travel up to 25% domestically and internationally.

What We Offer

• A unique opportunity to shape the future of AI in mobility and safety-critical systems, backed by a team that respects deep technical and strategic expertise.
• An innovation-driven environment with strong academic and industry collaboration.
• Exposure to global-scale AI projects spanning truck, rail, and industrial domains.
• Own the end-to-end lifecycle of AI initiatives, from initial business concept to tangible, value-driving deployment.
• Operate at the intersection of business strategy and deep technology, making critical decisions that shape our AI roadmap.
• Solve high-stakes problems in a research-driven environment that values intellectual honesty and pragmatic results.