Job Description: Senior Technical Manager – AI & Data Science Experience: 10–15 years Role Summary Lead AI and Data Science strategy, architecture, and delivery while managing high- performing teams. Drive the development of scalable AI/ML and Generative AI solutions that solve business problems and deliver measurable impact. Key Responsibilities • Lead AI/ML, Data Science, and GenAI initiatives from concept to production. • Manage and mentor Data Scientists, ML Engineers, and AI Engineers. • Define technical architecture and ensure scalable, secure AI solutions. • Collaborate with business and engineering teams to identify AI opportunities. • Drive MLOps best practices, model governance, and Responsible AI. • Manage project delivery, stakeholder communication, and team performance.



Required Skills • Solid expertise in Machine Learning, Deep Learning, NLP, LLMs, RAG, and Generative AI. • Proficiency in Python, SQL, PyTorch/TensorFlow, and ML frameworks. • Experience with cloud platforms (AWS, Azure, or GCP), Databricks, Spark, Docker, Kubernetes, and MLOps. • Proven experience leading enterprise AI projects and technical teams. Qualifications • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. • 10–15 years of experience in AI/ML, Data Science, or Analytics, with at least 5 years in technical leader

📌 Senior Data Science Manager (Karnataka)
🏢 Factspan
📍 Karnataka