Manager Data Science & Ai Hyderabad

Description Primary Duties & Responsibilities Architect and oversee AI/ML systems, pipelines, and application platforms for enterprise and engineering use cases. Set engineering standards and guide technical decisions around model selection, system architecture, infrastructure, observability, security, evaluation, and lifecycle management. Provide hands-on technical leadership through design reviews, code reviews, mentoring, and execution guidance for a small AI engineering team. Lead the design and implementation of applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, enterprise connectors, and workflow orchestration. Translate business and engineering needs into practical AI architectures and phased delivery roadmaps. Drive the full lifecycle of AI applications from research and prototyping through evaluation, production deployment, and operational support. Ensure AI solutions are explainable, reliable, secure, and aligned with regulatory expectations and internal governance policies. Work closely with data engineering, software engineering, IT, and business teams to ensure high-quality, well-governed data availability for AI applications. Stay current with advances in AI/ML, evaluate current techniques and frameworks, and drive pragmatic adoption using secure, cloud-native or hybrid architectures. Education & Experience Bachelors / masters degree in computer science engineering with specialization in Data Science/AI/ML/ Statistics Overall Experience of 12 to 15 years and minimum 5 years relevant experience Skills Experience with open-source model ecosystems, model serving, and deployment optimization. Exposure to fine-tuning, adapters, or domain customization techniques. Experience designing evaluation frameworks, benchmarks, guardrails, and quality measurement processes. Experience with supervised and unsupervised machine learning models. Exposure to engineering, industrial, manuf .