Machine Learning Implementation Engineer
Skills
SQLAirflowArtificial IntelligenceData ScienceFastapiGoogle Cloud PlatformMachine Learning
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Exceptional coder: you write clean object-oriented code; you care about good design and terse testable APIs
- Tinkerer: you regularly explore and learn new technologies and methods
- Entrepreneurial: you proactively identify opportunities and risks work around obstacles and always seek creative ways to improve processes and outcomes
- Structured and organized: you can structure a plan align stakeholders and see it through to execution
- Clear communicator: you are able to express yourself clearly and persuasively both in writing and verbally
Day to day
- Collaborate with customer Analytics/BI teams and OfferFit colleagues on implementations (use case definition data integration pipeline and ML model configuration etc.)
- Extend product capabilities by improving architecture and developing reusable data pipelines APIs and components
- Work closely with the ML pipeline development team to improve self-learning (reinforcement learning) algorithms
- Participate in determining OfferFit’s product strategy and roadmap
- Oversee the continuous support OfferFit provides customers to ensure their success