Software Engineer (DS Team)

We're looking for a software engineer who specializes in machine learning - someone whose core strength is writing excellent, production-grade code. You'll own the engineering quality of our ML systems: building, maintaining, and monitoring the services that run our models in production, and helping our data scientists ship code that's readable, maintainable, and built to last.ResponsibilitiesTransition ML workloads from research to production - ensuring scalability, efficiency, and reliability.Design, build, and maintain ML services, their infrastructure, and monitoring across their lifecycle.Integrate ML into our production systems, working closely with the engineering and devops teams.Own the data infrastructure and tooling our ML systems rely on, and shape unstructured data into a form ready for analysis.Help data scientists write readable, maintainable code, and raise software engineering standards across the team.Requirements: 4+ years as a software engineer, with some hands-on experience in the ML domain.Strong Python and software-engineering fundamentals: OOP, design patterns, SOLID, clean code, and architecture.Bachelor's degree or higher in Computer Science or another STEM field.Solid grasp of core ML concepts (e.g., linear regression) - you understand the models you put into production.Experience building services and tools that track the ML lifecycle and optimize ML workloads.Working knowledge of data cleaning and wrangling, and the right tools for the job.Experience with AWS (concretely EKS).Driven and result-oriented.A solid track record of execution, with strong attention to detail.Nice to haveExperience integrating MLOps tooling - experiment trackers, data versioning, and practices such as CI/CD/CT.Ops experience with AWS and Kubernetes.Data science exposure, particularly deploying and maintaining models.This position is open to all candidates.