Poonamallee Chennai Tamil Nadu Senior mlops engineer Jobs – 76 Open Jobs Today

Senior MLOps Technical Lead
HCLTech —Chennai, Tamil Nadu
- Azure
- Master's degree
- Machine learning
1h
Senior Software Engineer, Data Engineering
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Java
Quick apply
Senior Member of Technical Staff - Go/Python Development and Kubernetes
Aptiv plc —Chennai, Tamil Nadu
- Computer science
- Doctoral degree
- B.Sc
- Health insurance
- Flexible schedule
AI/ML Engineer
Agilisium —Chennai, Tamil Nadu
- Full-time
- Azure
- AWS
- Machine learning
Senior Generative AI Engineer-Python and Agentic AI
Citi —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Master's degree
- Analysis skills
Head of Tech (Engineering & AI)
Portcast —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- System design
Quick apply
Sr. AI Engineer
CogniAI Advanced Research Solutions Private Limited —Perungudi, Chennai, Tamil Nadu
- ₹50,000 - ₹1,50,000 a month
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Lead/Sr MLOps Engineer - Domino Data Lab
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Senior AI/ML Architect
Brainworks Solutions Pvt Ltd —Chennai, Tamil Nadu
- ₹30,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Health insurance
- Paid time off
Quick apply
Generative AI Engineer
Luxoft —Chennai, Tamil Nadu
- Azure
- Computer Science
- English
AI Infrastructure Architect
Accenture —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
5d
AI Engineer
Inlogic Technologies —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Databases
Gen AI
Techila Global Services —Chennai, Tamil Nadu
- Full-time
- Azure
- Salesforce
- Master's degree
Senior AI & Full Stack Developer
Xerago E-Biz Service —Perungudi, Chennai, Tamil Nadu
- Full-time
- APIs
- Agile
- In-person
Quick apply
2d
AI Engineering Manager
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Doctoral degree
- Computer Science
- Health insurance
- Paid time off
Databricks Solution Architect – Pre Sales
Goavega —Chennai, Tamil Nadu
- Azure
- Master's degree
- SQL
AI Developer
ArcVision Technologies —Chennai, Tamil Nadu
- ₹12,00,000 - ₹36,00,000 a year
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
1d
Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation)
Infotel UK —Chennai, Tamil Nadu
- APIs
- AI
- Banking
- Paid time off
- Paid sick time
Quick apply
Senior ML Engineer (NLP/GenAI)
Vestas —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
Hiring for Chennai - GenAI - Technical Lead/ Technical Specialist
CitiusTech Inc —Chennai, Tamil Nadu
- Azure
- B.Sc
- Engineering

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Senior MLOps Technical Lead

HCLTech -
Chennai, Tamil Nadu

Apply Now

Job details

1 hour ago

Qualifications

TensorFlow
Cloud infrastructure
Azure
Law
Software deployment
Enterprise Software
Master's degree
OS Kernels
Firewall
Machine learning
REST
Forecasting
Computer networking
Django
Unity
APIs
Agile
Predictive analytics
Flask
AI
Python

Full job description

Chennai, Tamil Nadu
Job Summary

We are seeking an experienced AI Engineer to design, develop, integrate, deploy, and support enterprise-grade AI solutions across both traditional AI/Machine Learning and Generative AI. This is a hands-on engineering role for someone who can move fluidly between classical predictive modelling and modern LLM-based architectures — building solutions that are not only technically sound, but production-ready, secure, and governed to enterprise standards.

Key Responsibilities

Design, build, and deploy machine learning models spanning classification, regression, clustering, anomaly detection, forecasting, and recommendation use cases.

Design and implement Generative AI solutions, including RAG pipelines, LLM orchestration, and agentic workflows integrated with enterprise systems.

Build and maintain production-grade REST APIs to expose AI/ML capabilities to downstream applications.

Develop and optimize data pipelines on Azure Databricks, leveraging Delta Lake and Lakehouse architecture for both batch and streaming workloads.

Integrate LLMs with enterprise data and systems using tool/function calling, and orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.

Work within Azure cloud infrastructure to deploy secure, scalable, and observable AI solutions — leveraging services such as Azure OpenAI, Azure AI Search, ADLS, Managed Identity, and Application Insights.

Apply Unity Catalog and enterprise data governance standards to ensure secure, well-governed data and AI workflows.

Collaborate with cross-functional teams to gather requirements, design solutions, and deliver iteratively in an Agile environment.

Ensure all AI solutions meet enterprise non-functional requirements — including scalability, security, reliability, and observability.

Embed responsible AI principles into solution design, including fairness, transparency, privacy, and content safety.

Provide ongoing support, monitoring, and optimization for deployed AI solutions.

Document architecture decisions, model behavior, and data lineage to support auditability and knowledge sharing.

Skill Requirements

AI & Machine Learning

Strong understanding of traditional AI/ML concepts, including supervised and unsupervised learning, classification, regression, clustering, anomaly detection, forecasting, and recommendation systems.

Hands-on experience with feature engineering, model training, evaluation, validation, and optimization.

Proficiency with Python ML frameworks (scikit-learn, XGBoost, LightGBM) and deep learning frameworks (PyTorch and/or TensorFlow).
Generative AI

Solid understanding of Generative AI and LLM fundamentals: transformers, embeddings, tokenization, and context windows.

Proven experience designing and implementing RAG solutions, including chunking strategies, vector databases/vector search, metadata filtering, reranking, and hybrid search.

Experience with LLM orchestration and agentic AI patterns, including tool/function calling and integration of LLMs with enterprise systems.

Familiarity with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.

Design and build agentic AI systems — including multi-step reasoning workflows, multi-agent architectures, and tool-augmented LLM agents — capable of autonomously executing complex enterprise tasks with appropriate guardrails and human-in-the-loop controls.

Hands-on experience with Azure OpenAI or other enterprise LLM platforms.

Python & API Development

Advanced Python development skills, with the ability to write clean, modular, reusable, and testable production-grade code.

Experience developing REST APIs using frameworks such as FastAPI, Flask, or Django REST Framework.

Ability to design for and implement non-functional requirements (scalability, security, observability, performance).
Databricks & Data Engineering

Strong, hands-on expertise with Azure Databricks, including notebooks, jobs/workflows, cluster management, and deployment practices.

Deep understanding of Delta Lake and Lakehouse architecture.

Experience with Unity Catalog and enterprise data governance.

Proficiency in building data ingestion, transformation, cleansing, and processing pipelines — for both batch and streaming data.
Azure Cloud

Practical experience with Azure services relevant to AI solutions: ADLS, Azure OpenAI, Azure AI Search, Managed Identity, Application Insights, monitoring, and storage services.

Working knowledge of networking concepts such as private networks, private endpoints, and firewalls.

Other Requirements

Nice to Have:
Experience with fine-tuning or parameter-efficient fine-tuning (LoRA, QLoRA) of LLMs.

Familiarity with multimodal AI models or document intelligence solutions.

Exposure to LLM evaluation frameworks (RAGAS, DeepEval, or similar).

Relevant certifications: Azure AI Engineer Associate (AI-102), Azure Data Engineer Associate (DP-203), or Azure Solutions Architect Expert (AZ-305).

Contributions to open-source AI projects or technical publications.

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senior mlops engineer jobs in poonamallee chennai tamil nadu

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Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation)

Senior ML Engineer (NLP/GenAI)

Hiring for Chennai - GenAI - Technical Lead/ Technical Specialist

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