Ajax Chennai Tamil Nadu Ai/ml engineer Jobs – 500 Open Jobs Today

ML Engineer I
UST —Chennai, Tamil Nadu
- Hybrid work
- Azure
- Computer Science
- Master's degree
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AI Engineer
UST —Chennai, Tamil Nadu
- Computer Science
- DevOps
- Master's degree
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AI Engineer
Factana Computing Private Limited —Chennai, Tamil Nadu
- ₹3,00,000 - ₹6,00,000 a year
- Full-time
- Master's degree
- Databases
- APIs
- Paid time off
- Paid sick time
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1d
AI/ML Engineer
Qualcomm —Chennai, Tamil Nadu
- Azure
- Computer Science
- Engineering
AI/ML Engineer
Reflective Software Tech —Chennai, Tamil Nadu
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
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13d
AI Engineer - GCP
UST —Chennai, Tamil Nadu
- DevOps
- Master's degree
- Databases
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13d
AI-ML Engineer
MaintWiz Technologies —Chennai, Tamil Nadu
- Azure
- Computer Science
- Java
AI/ML Engineer
Agilisium —Chennai, Tamil Nadu
- Full-time
- Azure
- AWS
- Machine learning
Hiring For Machine Learning Engineer
BSRI Solutions —Chennai, Tamil Nadu
- ₹4,00,000 - ₹8,00,000 a year
- Computer Science
- Master's degree
- SQL
AI / ML & Data Science Engineer - Chennai
DataGraphene Solutions —Chennai, Tamil Nadu
- ₹2,40,000 - ₹3,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
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AI/ML Engineer
KritiLabs Technologies —Chennai, Tamil Nadu
- Computer Science
- Master's degree
- Databases
- Health insurance
- Paid time off
Software Engineer, AI Agents & Engineering Workflows
Advantest —Chennai, Tamil Nadu
- Master's degree
- APIs
- AI
AI Engineer Trainees
BeetaAir Solutions Pvt Ltd —West Mambalam, Chennai, Tamil Nadu
- ₹10,000 - ₹40,000 a month
- Full-time
- Master's degree
- Machine learning
- APIs
- Flexible schedule
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AI/ML
Riverstone Infotech —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
AI/ML Engineer
Hitachi Rail —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- English
Responsible AI Engineer
Cognizant —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- AI
AI Engineer
NCR —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
7d
DevOps Engineer
DHL —Chennai, Tamil Nadu
- Hybrid work
- Azure
- Computer Science
- English
- Health insurance
11d
AI/ML Intern
MEG WORLD TECHNOLOGIES —Chennai, Tamil Nadu
- ₹1,000 a month
- Full-time
- Master's degree
- Analysis skills
- Machine learning
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Data Engineer
DHL —Chennai, Tamil Nadu
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Health insurance
- Paid time off

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ML Engineer I

UST -
Chennai, Tamil Nadu

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Job details

Qualifications

TensorFlow
CI/CD
Azure
Law
Computer Science
Kubernetes
PyTorch
Software deployment
Google Cloud Platform
Master's degree
Databases
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
Deep learning
REST
Natural language processing
Scrum
APIs
Agile
Data science
AI
Python
Data Science

Full job description

Role description

Job Title: AI Engineer (Generative AI / LLM Engineer)

Experience: 3-7 Years
Location: Hybrid / Onsite
Domain: Healthcare (Preferred)

Job Summary

We are looking for an innovative AI Engineer (Generative AI / LLM Engineer) to design, develop, and deploy AI-powered applications and machine learning solutions. The ideal candidate should have hands-on experience with Generative AI, Large Language Models (LLMs), Machine Learning frameworks, and Cloud-based AI services to create scalable and impactful business solutions.

Key Responsibilities

Design, build, and deploy AI/ML and Generative AI solutions.
Develop and optimize AI applications using LLMs, NLP, and machine learning techniques.
Build AI-powered chatbots, assistants, recommendation systems, and intelligent automation solutions.
Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations.
Develop and maintain APIs and microservices for AI applications.
Collaborate with business stakeholders, data scientists, and engineering teams to deliver AI solutions.
Monitor, evaluate, and improve model performance, accuracy, and scalability.
Ensure AI solutions adhere to security, compliance, and Responsible AI practices.
Participate in model deployment and MLOps activities.

Must-Have Skills

Strong programming experience in Python.
Hands-on experience with Machine Learning, Deep Learning, and Generative AI.
Experience with OpenAI, Azure OpenAI, AWS Bedrock, or similar AI platforms.
Knowledge of LangChain, LlamaIndex, Prompt Engineering, and AI Agents.
Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
Familiarity with vector databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
Understanding of REST APIs, Docker, Kubernetes, and Cloud Platforms (Azure/AWS/GCP).
Knowledge of MLOps concepts and CI/CD practices.
Experience implementing RAG (Retrieval-Augmented Generation) solutions.
Strong understanding of LLMs, NLP, and AI application development.

Good-to-Have Skills

Experience in Healthcare or Health Insurance domain.
Exposure to AI Governance, Model Monitoring, and Responsible AI principles.
Azure AI Engineer Associate or equivalent AI/ML certification.
Experience working in Agile/Scrum environments.
Experience building AI-powered chatbots, recommendation systems, and intelligent automation solutions.
Knowledge of security and compliance considerations for enterprise AI deployments.

Preferred Qualifications

Experience in Healthcare or Health Insurance domain.
Exposure to AI governance, model monitoring, and Responsible AI principles.
Azure AI Engineer Associate or equivalent AI/ML certification.
Experience working in Agile/Scrum environments.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Skills

Agentic AI, Azure AI Search, Azure OpenAI, RAG, Generative AI, Google Cloud Platform, Agile, Microsoft Azure, MLOps, Python

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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