Machine Learning Engineer
An opportunity to drive business innovation through robust, production-ready machine learning pipelines. The main focus involves deploying and maintaining ML workflows across Azure cloud infrastructure and on-prem ETL clusters. The role centers on technical collaboration with Data Scientists to build AI-driven solutions and refine internal engineering standards.
Python Engineer with MLOps
Details:
Required skills:
Python: Advanced
PySpark: Regular/Senior
Airflow: Regular/Senior
Cloud (Azure): Regular/Senior
What we expect in general?
Solid Python skills with hands-on experience taking projects to production.
Practical experience with orchestration tools such as Airflow.
Background in distributed data processing, especially Spark.
Hands-on experience with Kubernetes.
Cloud experience (Azure preferred) and Docker containerization.
Smooth collaboration with cross-functional teams and hands-on involvement in technical design.
Clear and direct communication with both tech and business partner.
Readiness to share domain expertise and support other team members in technical growth.
High level of independence, pragmatic problem-solving, and a clear big-picture view.
English language proficiency at a minimum [B2/C1] level.
Primarily remote-based engagement with occasional on-site collaboration (approx. once a month).
Skills
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Written answers (2)
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