1,247 Ml Compiler jobs in India

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

Role Overview:

We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.

Key Responsibilities:

• Design, develop and deploy NLP and ML models for real world applications.
• Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
• Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
• Perform data preprocessing statistical analysis and experiment design to validate models.
• Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
• Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
• Continuously research and adopt state of the art techniques in NLP ML and LLMs.

Required Skills and Qualification:

• Proven experience as a Data Scientist having 6-9 years of experience with a strong focus on NLP and ML.
• Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
• Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
• Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
• Proficiency in data analysis statistics and experiment design.
• Strong understanding of cloud ML platforms - GCP preferred.
• Excellent problem solving analytical and communication skills.
• Strong debugging, troubleshooting, and problem-solving skills.
• Excellent collaboration abilities.

Good to Have Skills:

• Exposure to MLOps practices - CI CD for ML monitoring deployment.
• Experience with other cloud platforms - AWS and Azure.
• Knowledge of reinforcement learning and generative AI applications.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge security challenges.
• A collaborative and growth-oriented work environment with opportunities for career development.

Position:- AI Engineer

4–6 years of hands-on expertise in AI/ML, Generative AI, and Agentic AI systems for Pune location.

Key Responsibilities

• Design, build, and deploy AI/ML models for classification, prediction, recommendation, and optimization.
• Build and deploy REST APIs for ML/AI models using frameworks such as Flask or FastAPI .
• Apply asynchronous programming and high-performance API design .
• Work with Generative AI frameworks (LLMs, Diffusion models, Transformers, etc.) to develop next-gen AI solutions.
• Build and orchestrate Agentic AI systems capable of reasoning, planning, and executing tasks autonomously.
• Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases.
• Manage model versioning, monitoring, and scaling for APIs in production environments.
• Implement API authentication and security (JWT, OAuth, etc.).
• Integrate AI models with APIs, databases, and enterprise systems for end-to-end workflows.
• Evaluate model performance, scalability, and reliability , ensuring alignment with business goals.
• Research, prototype, and productionize cutting-edge AI techniques .
• Collaborate with product managers, data scientists, and engineers to deliver scalable AI-driven applications.

Required Skills & Experience

• 4–6 years of hands-on experience in AI/ML engineering .
• Strong coding skills in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Expertise in Generative AI (LLMs like GPT, LLaMA, Claude, diffusion models, etc.).
• Experience with Agentic AI frameworks (LangChain, LlamaIndex, AutoGPT, CrewAI, or similar).
• Solid understanding of NLP, embeddings, and vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Strong knowledge of the ML lifecycle (data preprocessing, training, evaluation, deployment).
• Expertise in building REST APIs with FastAPI/Flask and integrating them into applications.
• Experience with containerized solutions using Docker & Kubernetes .
• Deployment experience across APIs, containers, and cloud platforms (AWS/GCP/Azure).
• Proficiency in prompt engineering, RAG (Retrieval Augmented Generation) , and model fine-tuning .
• Strong problem-solving, debugging, and optimization skills .

Position: AI/ML Engineer

Location: Bengaluru/ Pune/Chennai/Hyderabad/Noida

Notice Period : 15-30 days of Notice Period

We’re currently hiring for an experienced AI/ML Engineer to join DXC Technology . This role offers the opportunity to work on innovative projects involving AI frameworks and Large Language Models (LLMs) within our R&D environment.

Key Responsibilities:

• Design, develop, and present Proof of Concepts (PoCs) to business stakeholders.
• Build innovative AI-based solutions , integrating and optimizing models for production.
• Drive the adoption of LLMs within the enterprise application landscape.
• Develop new functionality for research and development (R&D) applications.
• Conduct code reviews and ensure adherence to high-quality coding standards.
• Implement and promote best practices in software development and AI integration.

Mandatory Skills:

• Minimum 6 years of AI/ML development experience .
• Advanced proficiency in Python and modern Python frameworks.
• Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Hands-on experience with at least one Large Language Model (LLM) .
• Proven experience in data science , model development, and deployment.

Nice-to-Have Skills:

• Familiarity with multiple LLMs and their integration into commercial or enterprise-scale projects.
• Experience in cloud platforms (e.g., AWS, Azure, GCP) for AI/ML deployment.

We are looking for Senior AI/ML Engineer

Locations: Pune | Mumbai | Bengaluru | Hyderabad | Gurugram | Chandigarh

Experience: 5+ Years

Work Mode: Work from Office (5 Days a Week)

Shift Timing: Starts from 3:00 PM Onwards

Required Qualifications & Skills

AIML, RAG, LLMs, Agentic AI, Python

Technical Expertise:

• Strong experience in Deep Learning , Agentic AI , LLMs , RAG systems , and MCP-based AI frameworks .
• Hands-on experience with machine learning algorithms (regression, clustering, decision trees, ensemble methods, neural networks).
• Expert in Python , with deep knowledge of scikit-learn, TensorFlow, and PyTorch .
• Proficient in SQL , data preprocessing, feature engineering, and model evaluation.
• Experience building and deploying AI agents , multi-agent workflows , and modular AI pipelines.
• Proficiency with cloud platforms (AWS, GCP, Azure).
• Hands-on experience with backend frameworks (Flask, FastAPI, Gunicorn) for model integration.
• Understanding of A/B testing, causal inference, and experimental design for model validation.

Interested candidates please share your resume to along with the following details:

Total Exp:

Relevant Exp as AIML Engineer:

Notice Period and LWD:

Current Location:

How many years of exp in Python:

How many years of exp in RAG:

How many years of exp in LLMs:

How many years of exp in Agentic:

How many years of exp in Backend Frameworks:

Current CTC:

Expected CTC:

Location: Gachibowli, HYD

Duration: Full-time

Working time: 2.00 PM to 11.00 PM IST

Immediately joiners

We are seeking a highly skilled AI & NLP Engineer to join our growing team. The ideal candidatewill have deep expertisein information retrieval,semantic search, and NaturalLanguage Processing (NLP)—particularly within the healthcare domain. You will help design,develop, and maintain large-scale AI systems.

Key Responsibilities

• Develop and optimize information retrieval and semanticsearch systems for medical data.
• Designand implement Retrieval-Augmented Generation (RAG) architectures for AI models.
• Build and maintainNLP pipelines to process and analyzelarge volumes of medical literature efficiently.
• Experience with Python,LangChain, Vector Databases (e.g., Pinecone, FAISS, Weaviate), and transformer-based models (e.g., BERT, GPT, LLaMA).
• Implementhallucination safeguards and factualaccuracy validation for AI-generated outputs.
• Collaborate with data scientists, engineers, and medicalexperts to deliver reliable and complianthealthcare AI products.
• Continuously monitor and improvemodel performance, accuracy, and scalability.

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

• 3-5 years of software development experience with demonstrated expertise in AI/ML technologies

• Strong proficiency in Python with experience in asynchronous programming patterns

• Proven track record of implementing production LLM integrations (OpenAI, Anthropic, Azure OpenAI, etc.)

• Hands-on experience with RAG system development including vector databases, embedding models, and retrieval optimization

• Knowledge of enterprise software architecture patterns and API integration best practices

• Understanding of AI governance, security, and ethical AI principles

• Strong understanding of prompt engineering techniques and LLM behavior optimization

Preferred Qualifications:

• Experience with agent frameworks (LangChain/LangGraph preferred) and multi-step reasoning implementations.

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

Raptor AI Inc. is a cross-border recruitment platform that helps enterprises hire global talent in weeks—and retain talent for years—through a suite of intelligent AI microservices.

We are supported by the Osaka Chamber of Commerce and Industry and recognized by JETRO Japan as an innovative startup.

Our distributed team includes engineers and researchers from Silicon Valley, Tokyo, Dubai, and Bangalore.

Join us in shaping the future of AI-driven global recruitment from Japan to the world.

Role Overview

As an AI Intern at Raptor AI, you will work on building production-grade AI agents and systems that power our end-to-end global recruitment automation infrastructure.

This is an opportunity to contribute to impactful real-world AI applications while learning from engineers operating across multiple countries and technologies.

Responsibilities

• Develop and deploy AI agents for real-world production environments.
• Analyze and model data to build inference-ready backend servers.
• Collaborate with AI researchers and technical managers to turn requirements into working features.
• Contribute to architecture discussions, experimentation, and iterative improvements.

Qualifications

• Highly motivated, curious, and passionate about solving complex problems.
• Strong foundation in Mathematics, Computer Science, or related fields.
• Ability to reason from first principles.
• Comfortable with the Kaizen approach—continuous, incremental improvement of systems.
• Strong systems thinking and ability to understand client use cases.
• Comfortable working in a fast-paced, global team environment.
• Excellent problem-solving skills and attention to detail.
• Fast learner with a bias toward action and iteration.
• Proficiency in Python, Git, and familiarity with Agno Agents or similar frameworks.
• Coursework or practical experience in AI, Machine Learning, or Agentic Systems is a plus.

Interview Process

After an initial pre-screening, shortlisted candidates will be given a 24-hour challenge to build a small, production-ready AI prototype based on a designated task.

What You’ll Gain

• Hands-on experience building AI products in an international startup.
• Mentorship from engineers working across Japan, the U.S., and the Middle East.
• Exposure to next-generation agentic AI systems.
• Potential pathway to a full-time role in Japan based on internship performance. (visa sponsorship to work in Japan)

(This internship will be stipended, depending on performance and regional policy.)