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Software Engineering, ML Engineer
Salesforce. Design, implement and iterate agentic AI systems with customers .
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, implement and iterate agentic AI systems with customers
- Innovate at the frontier of the field, creating new solutions and defining new product categories
- Collaborate with Data Scientists, Software Engineers, product managers and other stakeholders
Requirements
What you’ll need- 8+ years of experience in Machine Learning, building AI systems and/or services
- Bachelors/Masters in CS, Machine Learning, Statistics, or a relevant field
- 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.
- Excellent written and spoken communication skills.
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningAI systemsPythonTensorFlowPyTorchML pipelinesLLMsprompt designfine-tuning methodssoftware engineering best practices
Soft Skills
communication skillscollaborationinnovationproject managementproblem-solving
Certifications
Bachelors in Computer ScienceMasters in Machine LearningMasters in Statistics