Fortive

Junior AI Developer

Fortive

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Junior

Tech Stack

CloudIoTPythonPyTorchTensorflow

About the role

  • Support the development, testing, and deployment of ML/GenAI models for product features like proposal scoring, document summarization, and intelligent routing.
  • Partner with Data Engineering teams to scope and execute ingestion, transformation, and labeling tasks that prepare datasets for AI workloads.
  • Analyze customer usage data and platform signals to uncover new AI opportunities and provide input on feature feasibility and design.
  • Conduct data analysis on AI feature adoption, usage patterns, and outcomes to inform value-based packaging and monetization strategies.
  • Build POCs, run evaluation frameworks, and benchmark model performance across tasks in support of iterative, agile development cycles.
  • Assist with implementation, testing, and QA across dev environments to support production readiness and ongoing model monitoring.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent hands-on experience.
  • 1–3 years of experience working on AI/ML projects, with exposure to model development, data preparation, and experimentation workflows.
  • Familiarity with ML and GenAI frameworks such as PyTorch, TensorFlow, Hugging Face, or OpenAI APIs.
  • Some experience working with structured and unstructured datasets (e.g., tabular data, text, JSON).
  • Proficiency in Python and version control (e.g., Git); comfort with Jupyter, VSCode, or similar environments.
  • Curiosity about GenAI, retrieval-augmented generation (RAG), and product applications of AI in SaaS platforms.
  • Strong analytical and communication skills; ability to translate business problems into actionable data tasks.