Machine Learning Implementation Engineer

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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

Responsibilities:

• 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