Our client is a leading financial services organisation seeking a hands-on Lead Data & AI Scientist to drive the development and scaling of AI-powered solutions across the enterprise. This role is pivotal in shaping the technical direction of the organization's AI/ML initiatives, mentoring talent, and delivering high-impact outcomes.
The position requires deep expertise across GenAI, autonomous agents, advanced NLP and machine learning, along with the ability to architect and scale enterprise-grade AI/ML solutions and lead cross-functional delivery.

Position Type: Permanent – Lead
Virtual
Experience: 15-22 Years
Work Mode: Hybrid

GenAI, autonomous agents, advanced NLP, machine learning and hands-on technical expertise

Lead the design, incubation, and scaling of AI/ML solutions that solve complex business problems.
Evaluate and integrate open-source and proprietary LLMs, optimizing for performance and business value.
Translate business requirements into robust, scalable AI/ML solutions.
Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into products and platforms.
Guide and mentor data scientists, ML engineers, and junior developers.
Establish best practices for model development, deployment, monitoring, and governance.

Experience: 15-22 years




Solid foundation in statistics, machine learning, and deep learning.
Proven experience in building and deploying GenAI solutions using frameworks like LangChain, LangGraph, or similar.
Expertise in Natural Language Processing (NLP), including semantic search, entity recognition, and text generation.
Hands-on experience with LLMs (e.g., Ability to design and implement autonomous AI agents capable of observation, planning, reasoning, and action.
Familiarity with MLOps/AIOps practices and tools for scalable model deployment and lifecycle management.
Advanced degree (MSc/PhD) in Computer Science, Data Science, AI/ML, or related field preferred.
Experience in cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) preferred.
Knowledge of enterprise AI governance, ethical AI, and model interpretability preferred.

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📌 Data Scientist / AI Engineer (Secunderabad)
🏢 The Edge Partnership - The Edge in Asia
📍 Secunderabad