ML Applications Engineer
Skills
Computer ScienceAutomationCustomer ApplicationsOptimizationSystem Configuration
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of progressive relevant work experience
- Previous experience as a Software Engineer Data Scientist or Machine Learning Engineer in a industrial controls or process engineering environment
- Understanding of ML concepts and ability to reason about systems with non-deterministic components
- Fluency in a high level programming language preferably Python
- Natural curiosity; desire to learn go deep and problem-solve in new domains
- Those excited to see the real world impact of their work
- Those who celebrate the success of their customers as their own
- Exceptional organizational and communications skills
- Alignment with Phaidra's values: transparency collaboration operational excellence ownership empathy
Nice to have
- Previous DevOps or MLOps experience
- Previous experience on a customer adjacent role
- Understanding of industrial heating and cooling processes and their applications within manufacturing or data center environments
- Interest in computer science topics like logic programming or constrained optimization
Day to day
- Wear different hats: Software Engineer Controls Engineer Data scientist ML engineer
- Deeply understand the capabilities and tools offered by Phaidra's internal platform
- Work with Solutions Engineers to build the right solutions for new customer applications
- Maintain customer applications after initial onboarding
- Help resolve product issues
- Improve system configuration
- Ensure the timely and thorough resolution of engineering interventions
- Understand AI behavior as applied to customer systems
- Identify issues with it and implement improvements
- Build necessary tools to augment your work
- Maintain clear and concise documentation of your research communications and actions