Software Engineering Lmts- ML Engineer

Salesforce Salesforce · Enterprise · Bangalore, India, India

Machine Learning Engineer to build next-generation agentic AI platforms, working with Data Scientists, Software Engineers, and product managers to design, implement, and iterate agentic AI systems. The role involves innovating at the frontier of the field to create new solutions and define new product categories with significant customer impact.

What you'd actually do

  1. Design, implement and iterate agentic AI systems with customers.
  2. Innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
  3. Build technology and new science that millions of people will use.
  4. Work with Data Scientists, Software Engineers, product managers and other stakeholders closely to design, implement and iterate agentic AI systems with customers.

Skills

Required

  • Machine Learning
  • AI systems and/or services
  • Python programming
  • ML frameworks (TensorFlow, PyTorch)
  • ML pipelines
  • LLMs
  • prompt design
  • fine-tuning methods
  • large scale innovation
  • complex project management

Nice to have

  • conversational AI
  • vector databases
  • embeddings
  • top-tier papers published in related areas
  • problem solving
  • collaboration

What the JD emphasized

  • 8+ years of experience in Machine Learning, building AI systems and/or services
  • Strong experience building and applying machine learning models for business applications
  • Mastery of Python programming, including proficiency in leading ML frameworks (TensorFlow, PyTorch) and adherence to software engineering best practice
  • Strong experience in building ML pipelines
  • Expertise with applying LLMs, prompt design, and fine-tuning methods
  • Proven ability to implement, operate, and deliver results via innovation at large scale
  • Proven ability to independently drive complex projects from ideation to prototyping to production.

Other signals

  • building next-generation agentic AI platforms
  • design, implement and iterate agentic AI systems
  • innovate at the frontier of the field
  • create new solutions and define new categories of product