The Fortive AI/ML Internship is an exciting opportunity for students and early-career professionals who want hands-on exposure to Generative AI, Agentic AI, Machine Learning, and enterprise-scale automation. Offered under Fortive’s Business Systems Office (FBSO), this internship allows interns to work on real-world AI problems that directly impact thousands of users across Fortive’s global ecosystem.
This role is ideal for candidates who are passionate about building scalable AI solutions, experimenting with cutting-edge models, and understanding the complete AI product lifecycle from idea to production 🚀.
About Fortive
Fortive Corporation is a global industrial technology company focused on making the world safer, smarter, and more productive. Its technologies power critical industries such as healthcare, industrial safety, workplace automation, and predictive maintenance.
With a strong startup mindset and innovation-driven culture, Fortive combines deep engineering expertise with modern AI capabilities to solve complex real-world problems. The company actively invests in AI-led transformation through its Fortive Business System, which drives continuous improvement, experimentation, and scalable innovation.
Internship Overview
The AI/ML Internship at Fortive is available in hybrid mode in India, with the primary location being Bengaluru East, Karnataka. The internship duration is 3 or 6 months, with the possibility of extension based on performance and interest.
The start date is immediate or during the upcoming academic semester, making it suitable for students seeking flexible yet impactful industry exposure. While the stipend is listed as NA, the internship offers significant learning value, mentorship, and long-term career potential.
Teams You’ll Work With
Interns will work closely with one of three high-impact teams within the Fortive Business Systems Office (FBSO).
The Productivity AI Team focuses on embedding AI into tools and workflows used by over 10,000 Fortive employees. Interns contribute to GenAI-powered productivity tools, agentic systems, LLM-based enhancements, and MCP-driven automation.
The Growth & Innovation Team works on zero-to-one AI innovations. Interns explore early-stage AI product ideas, research-style experimentation, and proof-of-concepts using LLMs, vision models, RAG pipelines, and AI agents.
The Commercialization Team focuses on productionizing AI solutions. Interns gain exposure to model deployment, MLOps practices, scalable ML pipelines, monitoring systems, and delivering AI solutions to enterprise customers.
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What You’ll Be Doing
During the internship, you may work on building and evaluating GenAI and Agentic AI prototypes, developing Python-based AI pipelines, and experimenting with RAG systems, document intelligence, and cognitive search.
You will also contribute to workflow automation using AI and RPA concepts, experiment with leading LLMs and multimodal models, and support MLOps initiatives such as CI/CD for ML models. Collaboration with cross-functional teams, participation in design sprints, and presenting results to senior leadership are integral parts of this role.
This internship provides exposure to the entire AI product lifecycle, from ideation and experimentation to deployment and real-world usage.
Who Can Apply
This internship is suitable for students or early-career professionals from backgrounds such as Computer Science, Data Science, AI/ML, Electronics, Mathematics, or Statistics. Candidates with strong Python skills and a genuine interest in AI are encouraged to apply, even if they are still building advanced expertise.
Required Skills
Applicants must have strong programming experience in Python, a solid understanding of Machine Learning fundamentals, and curiosity to learn emerging areas such as GenAI, LLMs, AI Agents, MCP, and vector databases. The ability to work independently, collaborate in teams, and communicate ideas clearly is essential.
Preferred Skills
While not mandatory, familiarity with LLMs, Transformers, LangChain, LangGraph, CrewAI, RAG systems, embeddings, and vector stores is an advantage. Basic exposure to MLOps tools, cloud platforms like AWS, Azure, or GCP, and interest in DevOps or RPA automation can further strengthen your profile 💡.
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What You’ll Gain
Interns receive direct mentorship from experienced Data Scientists, ML Engineers, and MLOps leaders. You gain real-world experience working on enterprise-scale AI systems, hands-on exposure to modern AI frameworks and cloud environments, and the opportunity to contribute to solutions used globally across Fortive.
High-performing interns may receive internship extensions or future career opportunities within Fortive.
How to Apply
To apply, prepare a resume that highlights your Python skills, AI/ML coursework, projects, and practical experimentation. Emphasize hands-on learning, problem-solving ability, and your interest in building real-world AI solutions.
Before applying, review the role details carefully and apply by clicking the Apply button below. Tailor your resume to reflect relevant AI projects, hackathons, or research work to improve your chances.
Why Trust This Information?
This internship information is compiled from verified job postings and publicly available company data. Each post is reviewed for accuracy, clarity, and relevance to help job seekers make informed decisions without misleading or exaggerated claims.
Final Thoughts
The Fortive AI/ML Internship is a strong opportunity for candidates who want deep exposure to GenAI, Agentic AI, and enterprise AI systems. If you are eager to learn, experiment, and contribute to impactful AI solutions, this internship can be a valuable step toward a future career in AI and machine learning 🌟.
Disclaimer: This post is for informational purposes only. We are not affiliated with Fortive. Internship details such as duration, eligibility, stipend, and responsibilities may change at the company’s discretion.
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