Lead Data Scientist

: 8+ Years

Job Opportunity : Full Time (Permanent)

Location Remote

Interview Process

Internal Technical Round - 1

Client Round Virtual 2

Job Description: Lead Data Scientist Generative AI & Agentic Systems

Role Overview

We are seeking a highly skilled Lead Data Scientist with deep expertise (8+ years) in Generative AI, Agentic Systems, and advanced analytics to drive the design and deployment of enterprise-grade AI solutions. This role combines hands-on engineering, architectural leadership, and product thinking to build scalable AI systems aligned with business outcomes.

Key Responsibilities

• Lead the design and implementation of Generative AI and multi-agent systems, traditional ML for enterprise use cases
• Architect and deploy Agentic RAG pipelines, tool-calling frameworks, MCP-based AI systems, regression/classification algorithm based solutions
• Drive end-to-end AI lifecycle: data ingestion, preprocessing, modeling, evaluation, and deployment
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Ensure production readiness, scalability, and performance optimization of AI systems

Required Skills & Competencies

Generative AI & Agentic AI

• Multi-Agent Systems and orchestration frameworks
• Agentic RAG architectures, tool-calling, and MCP-based systems
• LLM orchestration across OpenAI, Claude, Gemini, LLaMA
• Inter-agent communication protocols (A2A, MCP)

Traditional Machine Learning & Advanced Analytics

• Strong expertise in supervised and unsupervised learning
• (Regression, Classification, Clustering, Dimensionality Reduction)
• Experience with tree-based models (XGBoost, Random Forest, LightGBM)
• Hands-on with feature engineering, feature selection, and data preprocessing
• Exposure to deep learning frameworks (CNNs, RNNs, Transformers where applicable)

AI Engineering & Data Science

• Strong foundation in Machine Learning and Deep Learning
• Model fine-tuning, evaluation, and performance optimization
• Statistical analysis, feature engineering, and data modeling

Platforms & Tools

• Cloud: GCP/AWS/AZURE
• Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, PandasAI
• Backend & Apps: FastAPI, Streamlit, Docker
• Databases: Pinecone, ChromaDB, Neo4j, PostgreSQL
• Developer Tools: GitHub, Copilot

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication skillsability to explain complex AI concepts to business stakeholders
• Product mindset with focus on business impact and usability
• Ability to lead cross-functional teams and drive alignment
• High level of ownership and accountability
• Adaptability in a fast-evolving AI landscape
• Strong collaboration and stakeholder management skills
• Mentorship and team development capabilities

Education & Certifications

• Bachelors or masters in computer science, Electronics, Data Science, or related field

Relevant certifications in Cloud (GCP/Azure) and Generative AI are a plus