Lead Data Scientist at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

3400000.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Models, Agentic AI, Python, FastAPI, Apache Spark, Azure OpenAI, AWS, GCP AI Services, Vector Databases, Model Fine-Tuning, LangChain, LlamaIndex, Semantic Kernel, Kubernetes, Docker, Real-Time Streaming

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 1200000 - Rs 3400000 (ie INR 12-34 LPA) Min Experience: 5 years Location: Bangalore JobType: full-time We are seeking an experienced Lead Data Scientist with deep expertise in large language models (LLMs), advanced AI system architecture, and real-time data processing. The ideal candidate will possess strong technical leadership and hands-on development skills, driving end-to-end AI/ML solutions from experimentation to production deployment. Key Responsibilities Design, develop, and optimize advanced machine learning and AI architectures leveraging cutting-edge LLM technologies. Build robust, scalable systems using Python and distributed data processing frameworks such as Apache Spark. Architect efficient solutions for Agentic AI systems, including multi-agent orchestration, inter-agent memory sharing, and workflow automation. Lead event-driven and real-time analytics solutions that support high-performance applications. Operationalize AI pipelines using Azure DevOps and LLMOps tools for deployment, monitoring, and lifecycle management. Work extensively with Azure OpenAI, vector databases, and RAG frameworks, including API integration, fine-tuning, and prompt engineering. Utilize cloud infrastructure (Azure/AWS/GCP) and containerization platforms like Kubernetes and Docker for scalable model deployment. Apply comprehensive knowledge of data lakes, data governance, and storage optimization strategies. Build applications using LangChain, LlamaIndex, Semantic Kernel, and other modern LLM frameworks. Provide mentorship, thought leadership, and technical guidance to the AI and data teams. Required Skills & Experience Large Language Models (OpenAI GPT-4o, O1, Claude, Gemini, Llama, Phi, etc.) Agentic AI & RAG Architecture Python, FastAPI, Apache Spark Azure OpenAI / AWS / GCP AI Services Vector Databases & Model Fine-Tuning LangChain, LlamaIndex, Semantic Kernel Kubernetes, Docker, and container orchestration Real-time streaming & event-driven systems LLMOps & Azure DevOps Strong leadership, problem-solving, and analytical skills

Responsibilities

The Lead Data Scientist will design, develop, and optimize advanced machine learning and AI architectures leveraging cutting-edge LLM technologies. They will also operationalize AI pipelines and lead real-time analytics solutions for high-performance applications.