ML Engineer

Who are we looking for:

Your role and responsibilities:

• Collaborate with ML engineers and data scientists to support dataset creation, labeling, and preparation (2D, 3D, and other formats)
• Design and implement scalable data pipelines and workflows for ML data processing
• Work with cloud platforms (preferably AWS) and distributed data processing/orchestration tools like Argo Workflows, Airflow, or Metaflow
• Develop and maintain tools to visualize, store, analyze, and process ML data at scale
• Contribute to MLOps practices including model deployment, monitoring, and versioning
• Ensure high code quality and maintainability through testing and documentation
• Consult with clients to understand their technical needs and provide architectural input

What we expect from you:

• 5+ years of production-level experience in software engineering
• High proficiency in Python and SQL
• Strong knowledge of database systems and data modeling
• Experience with cloud providers (ideally AWS) and ML-focused services (e.g., SageMaker)
• Hands-on experience with orchestration platforms like Argo Workflows, Airflow, or Metaflow
• Familiarity with MLOps practices and tooling
• Experience in ML-related data workflows including dataset labeling, preprocessing, and storage
• Eagerness to learn and constantly improve yourself
• Proactive attitude and great sense of responsibility
• Good command of written/spoken English (B2 and above)

Our offer:

• Attractive compensation package
• 100% remote position
• Opportunities for professional growth and development
• Collaborate with top minds from around the globe
• Build world-class digital products for European and US markets
• Long term B2B Contract