Technical MLOps Engineer for Scalable Machine Learning Projects

3 tygodni temu


Poland GetInData | Part Of Xebia Pełny etat
Senior MLOps Engineer

We are seeking an experienced MLOps Engineer to design and implement scalable machine learning project lifecycles, automate workflows, set up infrastructure, ensure reproducibility, and provide reliable experiment tracking.

About the Role:

This role is crucial to our company's success, and we invite candidates with outstanding technical skills and experience to connect with us. Although there isn't an immediate project available, we're interested in discussing potential future opportunities.

The ideal candidate will have expertise in cloud platforms, data processing, orchestration, storage, containerization, observability, SQL, programming languages, and CI/CD practices.

Key Responsibilities:
  • Collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training
  • Design and automate workflows, implement CI/CD pipelines, and ensure reproducibility
  • Provide reliable experiment tracking and collaborate with stakeholders to understand key challenges and inefficiencies of Machine Learning project lifecycles
Technical Requirements:
  • Proficiency in Python, Bash, PowerShell, and programming languages
  • Knowledge of orchestration, storage, containerization, observability, SQL, cloud platforms, and data processing
  • Experience with cloud services (Azure/AWS/GCP), frameworks (Databricks), and tools (MLflow/W&B/Neptune AI)
  • Familiarity with containerization technologies (Docker) and basic knowledge of container orchestration platforms (Kubernetes)
  • Understanding of continuous integration and continuous deployment (CI/CD) practices and experience with related tools (GitHub Actions/GitLab CI)
Benefits:
  • Sport subscription
  • Private healthcare
  • Flat structure
  • Small teams
  • International projects
  • Team Events
  • Training budget
  • Free coffee
  • Gym
  • Bike parking
  • Playroom
  • Free snacks
  • Free beverages
  • In-house trainings
  • Startup atmosphere
  • No dress code
  • Kitchen

Estimated salary: $120,000 - $180,000 per year.


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