AI ML Lead/Architect

Tekskills; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Tekskills seeks a Tech lead/Architect with 8-10 years of experience to architect and deploy scalable AI systems in a Bangalore-based hybrid setup. You will guide a team of AI engineers, drive RAG and vector-based search initiatives, and stay ahead of AI trends including LLMs and knowledge graphs.

This role demands production-grade deployment expertise and strategic business alignment. The position requires hands-on experience with LangChain or similar frameworks and a strong foundation in

Qualifications

• Architect and implement scalable ML/DL models from scratch.
• Lead development of information retrieval systems and relevance engineering solutions.

Responsibilities

• Guide the team in implementing Retrieval-Augmented Generation (RAG) and vector-based search systems.
• Stay updated on AI advancements: LLMs, knowledge graphs, generative AI.
• Spearhead design, development, and deployment of cutting-edge AI solutions with a team of AI engineers.
• Collaborate with cross-functional stakeholders to align AI initiatives with business goals.

Skills

AI

ML

LLMs

RAG

LangChain

Vector databases

Knowledge graphs

Information retrieval

Relevance engineering

Production deployment

Education

Tools

LangChain

Job description

Role: Tech lead/Architect

Total exp 8-10 years

Rel exp: 8 years

Shift timings: 11 PM to 9 AM

Bangalore, Hybrid Mode

Description:

• Architect and implement scalable machine learning and deep learning models from scratch., Lead the development of information retrieval systems and relevance engineering solutions.


• Guide the team in implementing Retrieval-Augmented Generation (RAG) and vector-based search systems.


• Stay abreast of the latest advancements in AI, including LLMs, knowledge graphs, and generative AI.


• Spearhead the design, development, and deployment of cutting-edge AI solutions. You will lead a team of AI engineers, collaborate with cross-functional stakeholders, and drive innovation in machine learning, deep learning, and large language model applications.


• This role demands a strong foundation in AI technologies, hands‑on experience in production-grade model deployment, and a strategic mindset to align AI initiatives with business goals.


• Hands‑on experience with LangChain or similar frameworks,Skilled in building and tuning models using RAG, vector databases, and knowledge graphs