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Remote role, mid-level 3–6 years, metro Bangalore, broad GenAI skills, and reputable global employer increase applicant competition.
AI engineering skills are broadly transferable, though regulated healthcare experience is preferred.
Explicit 3–6 years requirement, mandatory AI/ML, cloud, MLOps and product skills tighten filters.
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Design, develop, deploy, and operate enterprise AI solutions enabling scalable adoption of Generative AI, AI Agents, and AI-powered business processes across Danaher.
Partner with business stakeholders across Operating Companies to identify, prioritize, and deliver AI and data-driven solutions, translating requirements into product features and delivery plans.
Manage product backlogs and roadmaps, drive end-to-end delivery of AI projects, monitor business impact and performance metrics, and lead stakeholder engagement and change management activities.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or related field.
3–6 years of experience in Product Management, Product Ownership, Data & Analytics, AI/ML, or related technology roles.
Strong understanding of AI, Machine Learning, Generative AI, Large Language Models, and data-driven solutions.
Familiarity with cloud platforms (AWS, Azure, Google Cloud), data engineering, analytics, APIs, MLOps, and AI solution lifecycle management.
Experience delivering AI, analytics, or digital transformation solutions in healthcare, life sciences, diagnostics, or regulated industries.
Familiarity with GenAI technologies, Azure OpenAI, RAG architectures, agentic AI solutions, and Responsible AI practices.
Background combining strong product ownership, AI/ML technical knowledge, and ability to interface effectively with both technical teams and business stakeholders.