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 skilled 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.

📌 Python AI/ML (Bengaluru)
🏢 Tekskills
📍 Bengaluru