1,391 Pytorch jobs in India
Data Scientist- Pytorch/ TensorFlow
Posted 1 day 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 1 day 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 1 day ago
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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 Intern
Posted today
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Job Description
About the Company
ZeTheta Algorithms Private Limited ( is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role
We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning.
Responsibilities
- Design and implement the complete AI Models following provided specifications
- Develop both frontend and backend components of the platform
- Create and integrate AI modules
- Design and optimize database schema and queries
- Ensure system security, especially for sensitive identity verification data
- Deploy the solution using zero-cost cloud services
- Document code, APIs, and system architecture
- Complete the entire project within the 2 month timeline
Qualifications
No experience required. Preferably, a student who is currently pursuing or fresh graduate who has recently completed a degree in Computer Science, AI/ML, or related field.
Required Skills (permitted to use all LLMs)
- Strong programming skills in Python and JavaScript
- Understanding of React.js for frontend development and Node.js for backend
- Knowledge of FastAPI or similar Python web frameworks
- Familiarity with database design and SQL (particularly PostgreSQL with Supabase)
- Deployment on AWS with CD/ CI Pipelines and Manual Environment in EC2 instance, S3
- Understanding of basic machine learning concepts
- Self-motivated with ability to work independently
Preferred Skills (permitted to use all LLMs)
- Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers)
- Familiarity with computer vision techniques using OpenCV
- Knowledge of natural language processing concepts
- Sound knowledge of facial recognition or emotion detection systems
- Understanding of identity verification methodologies
- Docker containerization experience
- Prior work with cloud deployment (AWS)
Who Should Apply?
- Student or fresh graduate from any academic discipline.
- Strong analytical and problem-solving skills.
- Basic knowledge of Microsoft Office.
- Willingness to self-learn and work in a fast-paced environment.
Internship Details
- Duration: Self paced, options for 1,2,3,4 or 6 months.
- Type: Unpaid
Artificial Intelligence Engineer
Posted today
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Job Description
About Veritis
Veritis is a pioneering DevOps, AI, and ML company committed to delivering cutting-edge, AI-driven enterprise solutions . Our mission is to leverage artificial intelligence to enable business transformation through intelligent, scalable, and secure systems.
About the Role
We are seeking a visionary Associate Architect – AI to design and lead the implementation of enterprise-scale AI solutions. This is a key role where innovation meets impact—ideal for someone with a strong foundation in AI/ML, cloud technologies, and enterprise architecture.
Key Responsibilities
- Design and implement AI enterprise architecture strategies aligned with business goals.
- Define the AI roadmap, architectural frameworks, and best practices.
- Collaborate with data scientists, engineers, and business leaders on cross-functional AI initiatives.
- Evaluate and recommend the latest AI tools, platforms, and technologies.
- Integrate AI solutions with existing enterprise systems and infrastructure.
- Establish AI governance models , security protocols, and compliance standards.
- Provide technical leadership in AI model deployment, scalability, and performance tuning .
- Stay current with emerging AI trends, research, and regulatory developments.
- Guide teams in building AI-powered products, automation tools , and intelligent workflows.
- Drive AI-led digital transformation across multiple business units.
Qualifications
- Bachelor’s/Master’s in Computer Science, AI, Data Science, or a related field.
- 6–8 years of experience in AI solution architecture or enterprise AI design.
- Expertise in AI/ML frameworks and cloud platforms (AWS, Azure, GCP ).
- Solid understanding of AI governance, model lifecycle, and responsible AI practices.
- Experience with microservices, APIs , and enterprise integration patterns.
- Proficiency in AI/ML domains like NLP, computer vision, predictive analytics .
- Familiarity with DevOps/MLOps , CI/CD, and deployment automation.
- Strong communication and stakeholder engagement skills.
- Certifications such as TOGAF , AWS/Azure AI are a plus.
Preferred Skills
- Proven experience architecting AI solutions at enterprise scale .
- Strong analytical mindset and data-driven decision-making .
- Knowledge of AI ethics , fairness, and bias mitigation techniques.
Artificial Intelligence Resource
Posted today
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Job Description
About the company: A Top IT Product Company
Requirements:
Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field from premier engineering institutes of global ranking. Should have minimum 10-20 years of experience in architecture, design and development of highly scalable software products & applications.
Proven experience in managing AI projects and leading technical teams.
In-depth knowledge of AI, machine learning, and deep learning techniques.
trong understanding of data science concepts and methodologies.
xperience in BFSI projects as Product Areas Include (i) Trade Finance (ii)Retail Lending (iii) Account Opening (iv) SME Lending (v) Capital & Wealth Management
xcellent communication and leadership skills.
Ability to manage multiple projects simultaneously and meet deadlines.
emonstrated ability to continuously learn new technologies and quickly evaluate their technical and commercial viability
emonstrating thought leader-level abilities in commonly used data science packages including Spark, Pandas, SciPy, and Numpy
everaging familiarity with deep learning architectures used for text analysis, computer vision and signal processing.
End to end ML work and deploying of models
nowledge of how full stack SaaS products work, scale and perform
Responsibilities:
ead and manage the AI research and development team.
evelop and implement AI strategies that support business objectives.
versee the design, development, and deployment of AI models and algorithms.
ollaborate with cross-functional teams to integrate AI solutions into products.
onitor and analyze AI trends to ensure the company remains at the forefront of technology. nsure scalability and efficiency in AI model deployment.
entor team members and foster a collaborative working environment.
nderstanding statistical or numerical methods application, data-driven problem solving
emonstrating thought leader level abilities in the use of statistical modelling and machine learning techniques
odeling and Analyzing complex, high-volume, high-dimensionality data from varying sources. ell versed with Supervised and Unsupervised ML Techniques
xposure to Agentic AI
ead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization
rchitect a full ML Platform and build out the infrastructure to support scalability
rovide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering
ollaborate with stakeholders and project managers to turn business goals into technical solutions
Please share your resumes with
Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
Experience Required: 5-6 Years
Job Type: Full-Time, Remote
Location: Noida (Uttar Pradesh) / Remote
We’re seeking an experienced AI Engineer to build advanced models and automation pipelines for a cutting-edge document verification and identity validation platform. You’ll design, train, and deploy AI systems that analyze documents, match identities, detect fraud, and enable secure, intelligent automation.
· Build and deploy AI/ML models for document verification, ID recognition, and biometric validation.
· Develop OCR, NLP, and LLM-based pipelines for automated document analysis and decision-making.
· Integrate AI modules with Node.js, Angular, and MongoDB systems.
· Optimize models for real-time accuracy, scalability, and compliance.
· Collaborate with data and backend teams on automation and workflow intelligence.
· 5+ years of experience in AI/ML engineering or applied data science.
· Proficiency in Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, and LLMs.
· Experience with cloud AI services (AWS, GCP, or Azure) and MLOps tools.
· Strong grasp of data privacy, security, and ethical AI principles.
· Must be able to read, write, and communicate fluently in English.
· Bonus: experience with vector databases, RAG, or biometric authentication systems.
What We Offer
- 100% remote flexibility
- Competitive salary based on experience
- Collaborative and innovative work environment
- Opportunities for growth and long-term projects
Send your resume to
Thank you
Inderpreet
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Artificial Intelligence Engineer
Posted 3 days ago
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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 3 days ago
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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 Developer
Posted 3 days 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