Intern

Job Description:

Responsibilities

• Productivity AI Team (Enablement / LEAN Phase)
• Focused on empowering 10,000+ Fortive employees by embedding cutting-edge AI into FBS tools and workflows. You will work with:
• GenAI capabilities
• Agentic systems
• LLM-based productivity enhancements
• MCP-driven automations
• Growth & Innovation Team (DREAM Phase)
• Works on zero-to-one innovations, experimentation, and shaping future AI products. You will explore:
• New AI prototypes
• Research-style experimentation
• Early-stage product concepts
• POCs leveraging LLMs, Vision Models, RAG, Agents
• Commercialization Team (Develop / Deliver Phases)
• Focuses on productionizing AI solutions, MLOps, scalability, and customer-facing delivery. You will get exposure to:
• Model deployment (cloud platforms)
• ML pipelines
• Monitoring, evaluation, and improvements
• Taking AI solutions to enterprise customers
• Across all three teams, you will be mentored by experienced Data Scientists, ML Engineers, MLOps Engineers, and leaders working at the forefront of AI innovation at Fortive.
• During your internship, you may contribute to:
• Building and evaluating GenAI and Agentic AI prototypes
• Developing Python-based ML/AI pipelines
• Working on RAG systems, document intelligence, and Cognitive Search
• Automating workflows using AI + RPA concepts
• Experimenting with leading LLMs, Vision models, and multimodal models
• Supporting MLOps initiatives such as CI/CD for ML models
• Collaborating with cross-functional teams to design meaningful AI capabilities
• Participating in brainstorming, design sprints, and LEAN/DREAM activities under FBS
• Preparing and presenting results to senior leadership

Qualification & Experience

• Strong programming experience in Python
• Understanding of Machine Learning fundamentals
• Curiosity and willingness to learn GenAI, LLMs, AI Agents, MCP, Vector Databases
• Ability to work independently and in teams
• Good communication and problem-solving abilities