Data and AI Scientist

Edge In Asia Recruitment; Hyderabad; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Edge In Asia Recruitment partners with a leading financial services firm to hire a hands-on Lead Data & AI Scientist. This role shapes AI/ML strategy, oversees GenAI systems, and mentors data teams across the enterprise.

Hybrid work in India, 15-22 years of experience, strong cloud, MLOps and governance familiarity. Responsibilities span architecture, delivery, and cross-functional collaboration.

Qualifications

• Strong 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 NLP, including semantic search, entity recognition, and text generation.
• Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral) and fine-tuning techniques.
• Ability to design autonomous AI agents with observation, planning, reasoning and action.

Responsibilities

• Provide technical leadership and strategy for AI initiatives.
• Lead design, incubation and scaling of AI/ML solutions to solve complex business problems.
• Architect and implement GenAI-powered systems including RAG pipelines and autonomous agents.
• Evaluate and integrate open-source and proprietary LLMs for performance and business value.
• Translate business requirements into robust, scalable AI/ML solutions.
• Collaborate with cross-functional teams to integrate AI into products and platforms.
• Drive experimentation, rapid prototyping and iterative development.
• Mentor data scientists, ML engineers andJunior developers.
• Establish best practices for model development, deployment, monitoring and governance.

Skills

GenAI

Autonomous agents

Advanced NLP

Machine learning

Hands-on technical expertise

Education

MSc/PhD in CS/DS/AI/ML

Tools

Docker

Kubernetes

Job description

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 organizations 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

Mode of Interview: Virtual

Experience: 15-22 Years

Work Mode: Hybrid

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

Some of the key responsibilities will include:

• Technical Leadership & Strategy
• Lead the design, incubation, and scaling of AI/ML solutions that solve complex business problems.
• Architect and implement GenAI-powered systems, including Retrieval-Augmented Generation (RAG) pipelines and autonomous agents.
• Evaluate and integrate open-source and proprietary LLMs, optimizing for performance and business value.
• Solution Delivery
• 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.
• Drive experimentation, rapid prototyping, and iterative development.
• Team Development & Mentorship
• Guide and mentor data scientists, ML engineers, and junior developers.
• Foster a culture of technical excellence, innovation, and continuous learning.
• Operational Excellence
• Partner with CoE leaders to participate in and improve delivery processes, resource allocation, and prioritization frameworks.
• Establish best practices for model development, deployment, monitoring, and governance.

To be eligible for this role you will require:

• Experience: 15-22 years
• Strong 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., GPT, LLaMA, Claude, Mistral) and fine-tuning/customization techniques.
• Ability to design and implement autonomous AI agents capable of observation, planning, reasoning, and action.
• Proficiency in analyzing large datasets to identify trends, model improvements, and optimization opportunities.
• 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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Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 7 business days, we regret to inform you that your application for this position was unsuccessful.