17,092 Machine Learning Scientists jobs in India

StitchFin is an innovative startup revolutionizing the healthcare space by building cutting-edge AI solutions. We are seeking an enthusiastic AI Engineer to lead the development of cutting-edge voice AI systems and intelligent agents. In this role, you will design, develop, and deploy advanced AI models and systems that deliver exceptional user experiences through conversational interfaces.

Responsibilities

AI Development and Deployment

• Develop and maintain AI-driven, real-time speech-to-speech conversational agents
• Build low-latency, high-impact features that enhance user experiences
• Design and implement end-to-end AI pipelines
• Optimize AI systems for performance, scalability, and reliability
• Collaborate on defining and tracking success metrics for AI features

Technical Requirements

• 5+ years of hands-on software engineering experience with Python or similar languages
• Experience building and scaling distributed systems in cloud environments
• Proficiency in API design
• Proficiency with generative AI frameworks and tools
• Hands on experience with large language models, prompt engineering.
• Demonstrated ability to write clean, maintainable, and well-tested code
• Experience with CI/CD pipelines, cloud platforms like AWS and deployment automation
• Knowledge of monitoring, observability, and production debugging tools
• Familiarity with vector databases

Preferred Qualifications

• Experience in Healthcare or financial services industry.
• Experience building AI voice assistants or conversational agents
• Contributions to open-source AI projects or GitHub repositories demonstrating relevant work
• Knowledge of multimodal AI systems combining text, voice, and other inputs

What We Offer

• Opportunity to work on cutting-edge AI technology with real-world impact
• Competitive compensation and benefits package

Qualified candidates are encouraged to submit their resume along with links to relevant GitHub repositories or project examples that demonstrate experience with AI or related technologies.

We are looking for bright minds to join us as AI Research Interns in Noida for a 6-month stint.

Key Responsibilities

• Benchmark open-source LLMs for information extraction, document reasoning, and OCR on different NVIDIA GPUs and Google TPUs
• Tune infrastructure and vLLM configurations to maximize tokens-per-second per dollar spent
• Continuously improve system performance through prompt refinement and rival prompt strategies

Technical Skills

• Proficiency in Python and experience with deep learning frameworks (PyTorch/TensorFlow)
• Familiarity with LLM serving frameworks (vLLM, HuggingFace, TensorRT-LLM, Triton)
• Understanding of GPU/TPU architectures and performance tuning
• Exposure to OCR tools (Tesseract, PaddleOCR, DocTR)
• Knowledge of prompt engineering and evaluation techniques

Preferred Profile

• B.Tech Computer Science from a Tier-1 college (2025 & 2026 batch)
• Prior experience or internships in any of the above work streams
• Ownership mindset, problem-solving attitude, ability to learn and experiment quickly
• Attention to detail, proactive approach, and hunger for success

Summary

We are seeking a motivated and technically skilled AI Developer with 2–3 years of software development experience and a passion for building intelligent systems. This requirement is for our Parent Company. The ideal candidate will have hands-on experience implementing AI/ML solutions and a strong foundation in cloud-native development. Familiarity with Azure AI Foundry is highly desirable. This role will work under the guidance of the Systems Architect and collaborate closely with other developers to build scalable, secure, and innovative AI-powered applications.

Scope

The AI Developer will contribute to the design, development, and deployment of AI-enabled enterprise applications using Azure AI Foundry. This role is ideal for early-career professionals eager to grow in a fast-paced, innovation-driven environment. The developer will work on real-world problems, participate in agile development cycles, and help operationalize AI models in production systems.

Principal Job Duties & Responsibilities

• Develop and integrate AI/ML models into enterprise applications using Azure AI Foundry.
• Collaborate with the Systems Architect and development team to implement scalable and secure AI solutions.
• Assist in designing cloud-native applications with a focus on performance, reliability, and maintainability.
• Contribute to the development of multi-agent systems and intelligent workflows.
• Participate in code reviews, testing, and deployment activities.
• Support the implementation of MLOps and GenAIOps practices for model lifecycle management.
• Help maintain documentation, versioning, and traceability of AI components.
• Stay current with emerging AI technologies and contribute to continuous improvement initiatives.

Required Technical Expertise

AI & Cloud Development

• Experience implementing AI/ML models using Python, C#, JAVA or similar languages.
• Preferred: Software development experience in .NET C# and/or Python .
• Familiarity with Azure AI services (e.g., Azure Machine Learning, Cognitive Services).
• Bonus: Exposure to Azure AI Foundry and its AI Design Areas (application design, data platform, training data, grounding data, operations, testing).
• Understanding of MLOps pipelines and responsible AI practices.

Cloud & Systems

• Basic knowledge of Azure cloud services, including compute, storage, and networking.
• Bonus:
• Experience with containerization (Docker) and orchestration tools (Kubernetes, AKS).
• Exposure to microservices and event-driven architecture is a plus.

Development & Tooling

• Proficiency in software development best practices, including version control (Git), CI/CD, and agile methodologies.
• Experience with REST APIs, data pipelines, and integration frameworks.
• Bonus: Familiarity with Azure DevOps.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2–3 years of professional experience in software development.
• Demonstrated experience with AI/ML projects (academic, professional, or open-source).
• Strong problem-solving skills and eagerness to learn.
• Excellent communication and collaboration abilities.

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

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

We suggest you enter details here.

Role Description

This is a full-time on-site role for an Artificial Intelligence Intern located in New Delhi. The Artificial Intelligence Intern will be responsible for working on AI-based projects, conducting data analysis, developing machine learning models, and programming. Daily tasks will involve collaborating with team members, troubleshooting technical issues, and contributing to the enhancement of our AI capabilities.

Qualifications

• Knowledge in Computer Science and Programming skills
• Analytical Skills and experience in Data Science
• Understanding of Machine Learning concepts and techniques
• Proactive problem-solving abilities
• Excellent teamwork and communication skills
• Pursuing or completed a degree in a relevant field is beneficial
• Stipend 20k/PM

Job Summary:

We are looking for an AI Engineer with strong expertise in designing and deploying AI/ML solutions that solve real-world business problems. The ideal candidate combines a deep understanding of machine learning with strong Python scripting skills, enabling them to move from concept to production quickly.

Key Responsibilities:

· Apply AI/ML techniques to business use cases in predictive modeling, NLP, computer vision, and optimization.

· Collaborate with stakeholders to translate business needs into AI-driven solutions.

· Develop and maintain production-ready pipelines for data processing, model training, deployment, and monitoring.

· Leverage Python scripting for automation, data transformation, and workflow orchestration.

· Integrate AI models into applications, APIs, and enterprise systems.

· Continuously evaluate and optimize model performance for accuracy, scalability, and cost-efficiency.

· Stay up to date with emerging AI/ML frameworks, tools, and best practices.

Required Qualifications:

· 4+ years of applied AI/ML experience with proven deployment in production.

· Must have exposure to NLP and Generative AI solutions.

· Experience with containerization (Docker, Kubernetes) for ML workloads.

· Strong hands-on expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

· Experience applying machine learning algorithms to structured and unstructured data.

· Solid knowledge of data pipelines, APIs, and automation using Python scripting.

· Experience with cloud AI/ML services (Azure ML, AWS SageMaker, GCP Vertex AI).

· Familiarity with MLOps practices for deployment, monitoring, and lifecycle management.

· Strong problem-solving ability and business mindset for practical AI applications.

VAIML Solution, Heera’s project has the following job description:

• The team attempts to run a new unsupported model on VAIML.

• In many cases, it does not execute successfully due to a lack of support for some operators or other technical reasons.

• The team performs debugging to identify the issues.

• The team documents the requirements in Jira for the VAIML development team to implement the missing operators or make other technical adjustments to enable the model to run.

• Required skill set is Python, Linux, knowledge of AI/ ML

Ryzen AI Support, Uday's project involves:

• Implementing Ryzen AI in various vendor laptops (Asus, Lenovo…) for end users to run standard and proprietary AI models.

• Testing and documenting how to run models on Ryzen AI systems for end users.

• Resolving tickets submitted by users facing issues with running models on Ryzen AI.

• Work with end users to understand and fix problems.

• Update documentation if it contains errors.

• Collaborate with the dev team to fix product bugs.

• Required skill set is Python, Linux, Windows, knowledge of AI/ ML

You're an AI Engineer with 2+ years of experience who understands that context engineering is

becoming the most important skill an AI engineer can develop. You're passionate about building

intelligent systems that solve real-world problems and excited about mastering the art of

providing the right context to unlock LLM potential in complex, dynamic applications.

Responsibilities

● Build and integrate LLM-powered features including document generation, intelligent

assessments, and conversational agents

● Design voice AI pipelines for real-time speech processing and multi-language support

● Master context engineering - dynamically managing memory, retrieval, and information

flow across complex agent trajectories

● Create agentic workflows that can understand context and generate domain-specific

outputs

● Integrate with LLM APIs (OpenAI, Anthropic, etc.) and optimize model performance for

production use

● Collaborate with engineering teams to seamlessly integrate AI capabilities into

applications

Qualifications

Required

● 2+ years of hands-on experience building AI systems in production environments

● Strong expertise in Python and LLMs, prompt engineering, and API integrations

(OpenAI, Anthropic, etc.)

● Proficiency in core AI/ML libraries (transformers, LangChain, PyTorch/TensorFlow)

● Experience building RAG systems and working with vector databases

● Understanding of agentic AI systems and multi-agent architectures

● Knowledge of speech technologies (STT/TTS) and NLP frameworks

● Familiarity with cloud platforms (AWS/Azure) and MLOps practices

Nice to Have

● Experience with voice AI applications and real-time audio processing

● Healthcare domain knowledge or experience with compliance requirements

● Background in fine-tuning LLMs or multilingual NLP models

● Python FastAPI experience for building AI-powered APIs

● Experience with multi-agent frameworks like LangGraph, CrewAI, or AutoGen