Tn Senior technical lead traditional ml Jobs – 16 Open Jobs Today

Senior AI ML Developer
DIAN Technology Solutions Pvt Ltd —Chennai, Tamil Nadu
- Up to ₹18,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
6d
Director - Delivery Management
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- PMP
- AWS
- Health insurance
- Paid time off
Specialist, Data, Analytics & AI - CFCR
Standard Chartered —Chennai, Tamil Nadu
- Master's degree
- SQL
- Analysis skills
- Health insurance
- Paid sick time
Manager, Software Engineering
KLA —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Master's degree
- C++
Senior Delivery Management Leader - AI productivity solutions
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
- Azure
- AWS
- Analysis skills
- Health insurance
- Paid time off
Lead Engineer - AIOps
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Azure
- Oracle
- Java
1d
Architect II - Enterprise Solutions
UST —Chennai, Tamil Nadu
- Microsoft Excel
- DevOps
- ERP systems
Quick apply
Senior MLE - MLOps, Python, GCP, VertexAI, GKE
UPS —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- SQL
Delivery Management Leader – AI productivity solutions
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
- Azure
- Java
- AWS
- Health insurance
- Paid time off
Architect - Dotnet
Neurealm —Chennai, Tamil Nadu
- ₹35,00,000 - ₹45,00,000 a year
- Full-time
- Azure
- System design
- Master's degree
Agentic AI Architect
Kyndryl —Chennai, Tamil Nadu
- Full-time
- Computer science
- Azure
- Master's degree
Staff Data Scientist
Concord Technologies —Chennai, Tamil Nadu
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Principal Architect
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Hybrid work
- Azure
- Java
- AWS

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AI Technical Delivery Leader | 17+ Years | PAN India
Capgemini Sogeti —Chennai, Tamil Nadu
Collaborate with solution architects and technical teams to ensure solution design aligns with business objectives. RPA knowledge is a plus.
2h
AI Technical Delivery Leader | 17+ Years | PAN India
Capgemini —Chennai, Tamil Nadu
Collaborate with solution architects and technical teams to ensure solution design aligns with business objectives. RPA knowledge is a plus.

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Senior AI ML Developer

DIAN Technology Solutions Pvt Ltd
Chennai, Tamil Nadu

Quick apply

Job details

Permanent | Full-time
Up to ₹18,00,000 a year
6 days ago

Qualifications

TensorFlow
Azure
Law
Computer Science
Kubernetes
Enterprise Software
Data structures
Master's degree
Databases
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Natural language processing
Data science
AI
Python
Data Science

Full job description

Position Type: Full-Time, Permanent (FTE)

Experience: 5 – 8 Years

Location: Chennai, India

Work Mode: Work from Office

Joining: Immediate Joiner Preferred

POSITION OVERVIEW

We are seeking a highly skilled and forward-thinking Senior AI & Machine Learning Engineer for our client to join there core engineering unit in Chennai. In this permanent, full-time role, you will lead the architecture, design, and deployment of production-grade AI applications, with a heavy emphasis on Large Language Models (LLMs) and advanced Agentic AI frameworks.

The ideal candidate possesses deep technical expertise in traditional machine learning pipelines along with extensive practical experience building autonomous, multi-agent workflows capable of complex planning, reasoning, and tool utilization. As a permanent office-based team member, you will collaborate closely with cross-functional software architects and product owners to integrate intelligence directly into enterprise systems.

KEY RESPONSIBILITIES

Agentic System Architecture: Design, build, and optimize robust autonomous AI agents and multi-agent systems utilizing frameworks like LangGraph, AutoGen, or CrewAI to execute sophisticated workflows.

LLM Customization & Engineering: Select, fine-tune, prompt-engineer, and deploy state-of-the-art open-source and proprietary Large Language Models (LLMs) specialized for complex reasoning and workflow tasks.

ML Pipeline Development: Build, scale, and maintain end-to-end Machine Learning pipelines, including data pre-processing, feature engineering, model training, validation, and real-time inference serving.

Retrieval-Augmented Generation (RAG): Architect and fine-tune scalable RAG architectures integrated with vector databases to provide contextually accurate knowledge injection for production agents.

Performance Optimization: Monitor, evaluate, and optimize the execution latency, cost, and accuracy of AI agents and foundational models in production environments.

On-Site Collaboration: Drive cross-functional engineering excellence within the office workspace, mentoring junior developers and establishing technical best practices for reproducible AI codebases.

REQUIRED QUALIFICATIONS & SKILLS

Experience: 5 to 8 years of professional experience delivering machine learning software and production systems.

Core AI/ML Expertise: Deep comprehension of machine learning theory, neural network architectures, NLP techniques, and data structures.

Agentic AI Experience: Demonstrated hands-on experience designing production-grade autonomous AI agents that handle multi-step planning, tool invocation, reflection, and state management.

LLM Ecosystem: Expert proficiency in prompt engineering frameworks, fine-tuning libraries, and orchestration toolkits (e.g., LangChain, LlamaIndex).

Technical Stack: Exceptional programming skills in Python alongside standard ML libraries (PyTorch, TensorFlow, Scikit-Learn, Hugging Face, Pandas).

Data Infrastructure: Practical experience with vector stores (such as Pinecone, Milvus, Qdrant, or Chroma) and relational/non-relational database management.

Education:

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

PREFERRED ATTRIBUTES

Strong publication record or active public open-source contributions to LLM/Agentic tooling frameworks.

Experience deploying containerized workloads using Docker and Kubernetes within cloud-native

infrastructures (AWS, GCP, or Azure).

Ability to join immediately or within a short notice period.

Pay: Up to ₹1,800,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

senior technical lead traditional ml jobs in tn

Senior AI ML Developer

Director - Delivery Management

Specialist, Data, Analytics & AI - CFCR

Manager, Software Engineering

Senior Delivery Management Leader - AI productivity solutions

Lead Engineer - AIOps

Architect II - Enterprise Solutions

Senior MLE - MLOps, Python, GCP, VertexAI, GKE

Delivery Management Leader – AI productivity solutions

Architect - Dotnet

Agentic AI Architect

Staff Data Scientist

Principal Architect

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