Python AI/ML - GenAI Professional

Tekskills Inc.; Chennai; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Tekskills Inc. in Chennai, India, is seeking an experienced AI/ML engineer to design, develop, and deploy robust GenAI-powered solutions.

You will build production-grade ML/DL models using TensorFlow, PyTorch, and scikit-learn, and architect AI features with LangChain, LangGraph, and vector databases. The role requires 5+ years of Python ML/DL experience, expertise in GenAI tooling, model deployment, and API integration.

Qualifications

• Minimum 5 years of Python ML/DL experience.
• Hands-on with TensorFlow, PyTorch, or scikit-learn.
• GenAI tooling expertise (Vector DBs, LangChain, RAG, MCP).
• Experience with AI agents integration.
• Model deployment, API integration, and containers.

Responsibilities

• Design, develop, and deploy Python-based ML/DL solutions.
• Build end-to-end ML/DL models for production.
• Create GenAI apps using Vector DBs, Langchain, Langgraph, RAG, MCP.
• Integrate external data sources and scalable AI pipelines.
• Collaborate with teams to translate business requirements into AI features.
• Perform model evaluations, fine-tuning, and monitoring.
• Mentor teammates and contribute to AI best practices.

Skills

Python development

Machine learning

Deep learning

ML frameworks

GenAI tools

Vector databases

LangChain

LangGraph

RAG

MCP

AI agents

API integration

Version control

Containerization

Communication

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Job description

Job Summary

This role is ideal for candidates passionate about solving complex problems, driving innovation, and implementing next-gen AI solutions for real-world applications.

Responsibilities

• Design, develop, and deploy robust solutions leveraging Core Python , standard libraries, and frameworks.
• Build and optimize end-to-end machine learning and deep learning models for production use.
• Architect and implement GenAI-powered applications utilizing Vector Databases, Langchain, Langgraph, RAG, and MCP.
• Integrate external data sources and APIs, and build scalable pipelines for AI model deployment.
• Collaborate with internal teams to translate business requirements into cutting-edge AI features.
• Conduct model evaluations, fine-tuning, and support ongoing model monitoring.
• Mentor and guide team members and contribute to best practices within the AI community.

Qualifications Required

• Minimum 5 years of professional experience in Python development, with a focus on machine learning and deep learning.
• Strong understanding of core ML concepts , with proven project delivery using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience in deep learning (CNNs, RNNs, LLMs/Transformers, or similar architectures).
• Demonstrable expertise in GenAI tools (Vector Databases, Langchain, Langgraph, Retrieval Augmented Generation (RAG), MCP).
• Introductory knowledge of AI Agents and their integration in larger workflows.
• Solid understanding of model deployment, API integration, version control, and containerization.
• Excellent communication, problem-solving skills, and a collaborative mindset.

Preferred Qualifications

• Experience deploying AI/ML solutions in production at scale.
• Familiarity with cloud AI services (AWS Sagemaker, Azure ML, GCP, etc.).
• Exposure to LLM fine-tuning, prompt engineering, or knowledge of autonomous agent systems.