Python AI / ML Professional - GenAI

Tekskills Inc.; Delhi; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Tekskills Inc. is seeking a Python, Machine Learning & GenAI Specialist to lead end-to-end AI initiatives. You will design robust Python-based solutions and deploy ML/DL models for production.

The role focuses on GenAI applications, vector databases, Langchain, and RAG, with emphasis on scalable pipelines and API integration. You will collaborate with cross-functional teams, mentor peers, and ensure model performance through evaluations and monitoring.

Qualifications

• Minimum 5 years of professional experience in Python development with ML focus.
• Solid understanding of core ML concepts and production-ready model deployment.
• Hands-on deep learning experience (CNNs, RNNs, transformers).
• GenAI tools experience: vector databases, Langchain, Langgraph, RAG, MCP.
• Introductory knowledge of AI agents and orchestrating AI workflows.
• Experience with API integration and containerized deployments.

Responsibilities

• Design and deploy robust Python-based AI solutions.
• Build and optimize ML/DL models for production use.
• Architect GenAI-powered apps using vector DBs, Langchain, RAG.
• Integrate data sources and APIs; create scalable ML pipelines.
• Collaborate with teams to translate business needs into AI features.
• Evaluate models, perform fine-tuning, monitor performance.
• Mentor junior teammates and promote best practices.

Skills

Python development

Machine learning

Deep learning

GenAI tools

API integration

Containerization

Version control

Communication

Tools

TensorFlow

PyTorch

scikit-learn

Langchain

Langgraph

RAG

MCP

Git

Job description

Job Title: Python, Machine Learning & GenAI Specialist

Job Summary

We are seeking a dynamic and experienced professional with 5+ years of hands-on expertise in Python, Machine Learning, and advanced experience in Deep Learning and Generative AI (GenAI). This role is ideal for candidates passionate about solving complex problems, driving innovation, and implementing next-gen AI solutions for real-world applications.

Key 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.

Required Skills & Qualifications

• 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.