Join Relesys as a Machine Learning Engineer to advance in-house ML capabilities for their employee engagement SaaS platform. You will design, build, and deploy ML models in production, collaborate with product and engineering teams, and help mature ML operations and best practices.
Responsibilities
Design, build, train, and improve machine learning models with a focus on production readiness and maintainability
Take ownership of existing AI/ML solutions and gradually internalize them
Establish and mature internal ML development environments, pipelines, and workflows
Collaborate with product managers and software engineering teams to integrate ML models into .NET-based backend and APIs
Monitor model performance, drift, latency, and cost in production
Define standards and best practices for ML, including versioning, documentation, testing, and review
Requirements
3+ years of hands-on experience with Machine Learning in production
Strong development skills and experience deploying ML models as services (APIs, batch jobs, pipelines)
Solid understanding of model evaluation, data leakage, bias, and concept drift
Strong software engineering mindset with a pragmatic, solution-oriented approach