Data Scientist

• Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches.
• Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities.
• Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.
• Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps.
• Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader.
• Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.
• Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
• Lead proof-of-concept (PoC) development and transition of AI solutions into production.
• Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions.
• Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering.
• Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.

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