10,353 Tensorflow jobs in India
Data Scientist- Pytorch/ TensorFlow
Posted 2 days ago
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Job Description
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
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+ **Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
Data Scientist- Pytorch/ TensorFlow
Posted 2 days ago
Job Viewed
Job Description
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:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
AI/ML Engineer - Python, Scikit Learn, TensorFlow or PyTorch
Posted 2 days ago
Job Viewed
Job Description
We are seeking a highly skilled and experienced AI/ML Engineer to join our team. As a AI/ML Engineer, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2 to 4 years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.
**Primary Responsibilities:**
+ Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL
+ Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models
+ Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data
+ Build, tune, and evaluate machine learning models for predictive and prescriptive analytics
+ Conduct drift analysis to monitor model performance and ensure accuracy over time
+ Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
+ Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
+ Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments
+ Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
+ Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
+ 2+ years of experience in Data Science, AI/ML, or a similar role
+ Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
+ Hands-on experience in delivering production-grade AI/ML projects
+ Solid programming skills in Python, with experience in pandas, numpy, and SQL
+ Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
+ Solid understanding of mathematical and statistical concepts
+ Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) is a plus.
+ Proven excellent problem-solving and analytical thinking skills
+ Solid communication and collaboration skills to work effectively in a team environment
**Preferred Qualification:**
+ Familiarity with the US Healthcare domain
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services.
Key Responsibilities:
- AI Model Development: Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models.
- Data Processing: Collect, clean, and preprocess data for training and testing AI models.
- Algorithm Optimization: Optimize and fine-tune models for performance, accuracy, and scalability.
- Integration: Integrate AI solutions into existing systems and applications.
- Research: Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems.
- Collaboration: Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs.
- Documentation: Document the AI models, processes, and methodologies used in the development lifecycle.
- Testing and Validation: Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability.
- Maintenance: Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time.
Required Skills and Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience: Proven experience in developing and deploying AI models and algorithms.
- Programming: Proficiency in programming languages such as Python, R, Java, or C++.
- Libraries and Frameworks: Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others.
- Data Handling: Strong understanding of data structures, data modeling, and data processing techniques.
- Mathematics: Solid foundation in mathematics, including statistics, linear algebra, and calculus.
- Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
- Communication: Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
- Teamwork: Ability to work effectively in a collaborative team environment.
Preferred Skills and Qualifications:
- Experience with Cloud Platforms: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models.
- Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, or Apache Flink.
- NLP and Computer Vision: Experience in developing NLP and computer vision applications.
- Version Control: Proficiency with version control systems like Git.
- DevOps: Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models.
- Industry Knowledge: Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing.
Artificial Intelligence Engineer
Posted today
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Job Description
Shift Timings - 1pm to 10pm or 3pm to 12am
What you will be doing:
· Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots).
· Work with open-source LLMs using platforms like Ollama and Hugging Face.
· Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution.
· Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases.
· Collaborate with cross-functional teams to ship features to production.
· Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI.
Required Skills
· 3–5 years of hands-on experience in AI/ML engineering.
· Proficient in Python, PyTorch, and Hugging Face Transformers.
· Proven experience with LangChain and LangGraph for LLM workflows.
· Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs.
· Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS).
· Skilled in backend integration using FastAPI, Docker, and cloud platforms.
· Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing.
Nice-to-Have
· Experience with LangServe, OpenAI tool/function calling, or agent orchestration.
· Background in multi-modal AI (e.g., image + text analysis).
· Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow).
· Contributions to open-source GenAI projects.
· Understanding of LLM safety, security, and alignment principles.
Artificial Intelligence Architect
Posted 1 day ago
Job Viewed
Job Description
Greetings from TCS!
TCS Mumbai hiring for Artificial intelligence Architect(Technical Lead) !
Role: Artificial intelligence Architect
Experience required: 7 to 9 years
Location:- Mumbai
Required Technical skill Set:-
- We are seeking a visionary and hands-on AI/ML GenAI & NewTech Architect to lead the design and implementation of cutting-edge AI capabilities within our SaaS-based ITOM product suite. This role is pivotal in driving innovation across observability, automation, and predictive operations using Generative AI, Machine Learning, and emerging technologies.
MUST HAVE:-
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
- Proven experience in building and deploying AI/ML models in production, preferably in ITOM or ITSM domains.
- Strong knowledge of LLMs, NLP, GenAI frameworks (e.g., LangChain, Hugging Face, OpenAI, Azure OpenAI)
- Working knowledge of RAG, MCP
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Familiarity with SaaS architecture, microservices, APIs, and containerization (Docker, Kubernetes).
- Working knowledge of MCP (Model Context Protocol) for managing contextual integrity and dynamic prompt orchestration in GenAI systems.
- Understanding of Agentic AI architectures for autonomous task execution, planning, and orchestration using AI agents.
- Excellent communication and leadership skills
Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
Title: AI Engineer
Location: remote India
Industry: Pharmaceutical
Type: till end of the year, strong possibility f extension of going well
Description:
AI engineer who can design, configure, and optimize the way we work with MS Azure AI services (like OpenAI, AI search, Speech, document intelligence, etc.) and more specifically RAG applications and agents, while also implementing the backend python code to work with those services.
from the manager:.
For AI engineers, we are looking for a hands-on developer implementing AI solutions. They should be able to understand and optimize the way we use pretrained models. We rarely fine tune them, but even if we do – we don’t need a data scientist for that. It’s usually a straightforward procedure (using Azure foundry). They should also be able to run evaluations on the quality of those models’ output (we have data scientists who can work with the AI engineer on the statistical aspects if needed).
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Artificial Intelligence Developer
Posted 1 day ago
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Job Description
Position Overview:
We are seeking an experienced Senior AI Developer to join our growing agentic AI team. This role will focus on developing production-grade agentic AI solutions including ReAct agents that drive business value across multiple business units. The successful candidate will architect and implement sophisticated AI agents, RAG systems, and automation workflows that integrate seamlessly into our enterprise technology stack.
Key Responsibilities:
- Design and develop enterprise-scale agentic AI solutions using LangGraph and related frameworks.
- Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an emphasis on accuracy, latency, and reliability.
- Architect multi-step reasoning workflows that integrate with existing enterprise systems and APIs.
- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
- Ensure AI implementations meet enterprise security, compliance, and governance standards.
- Optimize system performance and cost efficiency across multiple LLM providers.
- Mentor junior developers and contribute to AI development best practices.
- Partner with DevOps teams to ensure reliable production deployments.
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or related technical field