1,271 AI Scientists jobs in India

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

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.

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

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

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.

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

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

Role Purpose / Summary: **

As a Senior AI/ML Engineer, you will be at the core of the Brio AI Factory, responsible for the hands-on development, training, and deployment of advanced artificial intelligence and machine learning models. You will implement the technical vision set by the Solutions Architect, building the high-performance AI components that power large-scale use cases and drive innovation.

Key Responsibilities: **

• Develop, train, and fine-tune advanced AI/ML models, including LLMs, VLLMs, and SLMs, for

specific project requirements.

• Implement complex retrieval-augmented generation (RAG) systems, leveraging both knowledge

bases and graph data structures.

• Design and implement sophisticated prompts and agentic AI workflows to create intelligent,

autonomous systems.

• Write clean, production-grade Python code for model development, data processing, and API

creation.

• Collaborate closely with Data Engineers to build and optimize data pipelines for model training

and inference.

• Work with DevOps Engineers to containerize (Docker), deploy (Kubernetes), and monitor models

within a CI/CD and MLOps framework.

• Participate actively in an agile team, contributing to sprint planning, daily scrums, and code

reviews to ensure timely delivery of high-quality AI features.

Required Technical Skills: **

• Expertise in Visual Large Language Models (VLLMs), Large Language Models (LLMs), and Small

Language Models (SLMs).

• Deep understanding and practical experience with Knowledge RAG and Graph RAG patterns.

• Advanced skills in Prompt Engineering, Model Fine-tuning, and Model Distillation.

• Proficiency with Vector Databases (e.g., Pinecone, Milvus) and Graph Databases (e.g., Neo4j).

• Experience in designing and building Agentic AI Models and multi-agent systems.

Preferred Skills / Tools / Frameworks: **

• Proficiency with core Python data science libraries (e.g., Pandas, NumPy, Scikit-learn).

• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with AI/ML platforms and tools on Azure (Azure Machine Learning, Azure OpenAI).

• Experience with MLOps tools like MLflow for model tracking and lifecycle management.

Experience Level: **

• 7 to 9 years in a hands-on software engineering or data science role, with a primary focus on

building and deploying AI/ML models.

Education: **

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. A

Master's degree is preferred.

Company Description

At Lenskart, we believe that clear vision is fundamental to personal development and well-being, and our aim is to build tech-enabled solutions that improve access to affordable and quality ‘Eyewear for All’. We commenced our operations in India as an online business in 2010 and opened our first retail store in New Delhi in 2013. Since then, we have scaled through both online and offline channels and have established a presence through our retail stores, websites, mobile applications, and other channels.

Role Description

This is a full-time on-site role for an Artificial Intelligence Resident located in Greater Delhi Area. The Artificial Intelligence Resident will be responsible for developing and implementing AI algorithms, performing detailed data analysis, creating machine learning models, and collaborating with cross-functional teams to integrate AI solutions into various products.

Qualifications

• Strong background in Computer Science and Programming
• Proficient in Analytical Skills and Data Science
• Experience in Machine Learning and AI model development
• Excellent problem-solving abilities and critical thinking
• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• Ability to work collaboratively in a team environment
• Prior experience in the eyewear or retail industry is a plus