Software Engineer – ML Platform
Veriff
full-time
Posted on:
Location Type: Remote
Location: Estonia
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About the role
- Implementing Observability Frameworks: Building the tools and templates that provide visibility into model performance, data drift, and training statistics, ensuring our continuous retraining loops are robust.
- Engineering for Efficiency: Developing systems to track and optimize compute costs and training performance, allowing us to scale our ML efforts sustainably.
- Building Experimentation Tooling: Executing on the roadmap for internal tools that enable Data Scientists and ML Engineers to iterate and deploy experiments with minimal friction.
- Developing SaaS-grade ML Services: Writing high-quality, maintainable Python code to build and automate services that sit at the core of our ML lifecycle.
- Bridge-Building: Working alongside our Staff Engineer to implement architectural designs and collaborating with SRE/DevXP teams to ensure our solutions are production-ready and easily managed.
Requirements
- 3+ years of experience in software or ML engineering, specifically building tools that support the ML lifecycle (MLOps).
- Strong Python skills with experience in building internal APIs or automation services.
- Hands-on experience with the open-source ML stack (e.g., MLflow, Kubeflow, Ray, or Prometheus/Grafana for ML monitoring).
- A "Product" mindset for internal tools: You care about the developer experience of the Data Scientists using your platform.
- Experience with SQL and Data Engineering (e.g., Snowflake, Spark, or dbt) to understand how data flows into our training pipelines.
- A skeptical, first-principles approach to engineering—you prefer understanding the "why" behind a system rather than just following a vendor's tutorial.
Benefits
- Flexibility to work from home
- Stock options that ensure your share in our success
- Extra recharge days on top of your annual vacation
- Comprehensive relocation support to Estonia or Spain
- Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
- Learning and Development & Health and Sports budget that you are free to tailor to your own needs
- Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonMLOpsSQLData EngineeringMLflowKubeflowRayPrometheusGrafanaAutomation
Soft Skills
Product mindsetCollaborationProblem-solvingCritical thinkingDeveloper experience focus