INTERNAL

9761:

Senior Data Scientist :

Role Overview

The Senior Data Scientist is responsible for driving research and exploratory development in emerging AI technologies, with an emphasis on novel AI system design patterns and agentic/multi-agent systems.

The role reports to the Lead Innovation Research and requires qualifications such as BE/B-Tech or ME/M-Tech in relevant fields with 8 to 12 years of experience and advanced technical certifications .

Key Responsibilities Tasks The job responsibilities are weighted and categorized as follows:

Architecture Design (20%) Define and develop conceptual and reference architectures for AI-driven software systems focusing on modularity, extensibility, and scalability.

Evaluate technology stacks and architectural patterns through experimentation, emphasizing performance and research viability . Solution Development (30%)

Design and implement advanced AI prototypes and experimental software solutions.

Research and build agentic and multi-agent systems using open-source frameworks like LangGraph and CrewAI.

Validate system designs through proofs of concept and simulations.

Experiment with containerization and cloud deployment strategies such as Docker . Innovation Leadership (20%)

Stay updated on technology trends including AI, Cloud, IoT, and AR/VR. Drive adoption of emerging technologies into product development cycles . Collaboration Mentorship (15%)

Collaborate with cross-functional teams to maintain architectural integrity.





Mentor junior engineers and promote technical excellence . Governance Compliance (15%)

Ensure adherence to security, compliance, and performance standards.

Participate in technical reviews and risk assessments . Required Skills and Competencies Technical Skills

INTERNAL

Expert proficiency in AI and software architecture, multi-agent system design, and advanced solution development. Experience with scalable applications on platforms such as Azure and AWS.

Strong knowledge of application security, defensive coding, database design, infrastructure performance, and monitoring.

Proficient in Python programming, RAG pipeline development, software code management and deployment.

Familiarity with containerization and cloud-native deployment patterns. Functional Competencies Advanced understanding of business process requirement analysis, change request management, functional and technical architecture and design

. Skilled in knowledge management to leverage organizational data and create reusable assets . Leadership and Interpersonal Skills Ability to guide and mentor team members. Solid communication, assertiveness, motivation, problem-solving, organization, and planning skills .

Disclaimer: This has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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