ML Ops Engineer

5 days ago

Kraków, Lesser Poland, Czech Republic Antal Full time

Job Description

We are seeking a skilled ML Ops Engineer to join our team at Antal. The successful candidate will be responsible for establishing and maintaining best practices for ML Ops, including version control, CI/CD pipelines, and the Vertex AI Model Registry and End Points.

  • Key Responsibilities:
  • Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring, and explainability.
  • Deploy and manage ML models on GCP's Vertex AI platform, ensuring efficient and scalable execution.
  • Identify and address performance bottlenecks in ML models and pipelines.
  • Troubleshoot and resolve ML issues, ensuring optimal model performance and costs.
  • Work closely with data scientists to prepare and preprocess data for model training and evaluation.
  • Assist in feature engineering and selection to ensure model performance.
  • Develop techniques to visualize and explain model behavior, ensuring model transparency and accountability.
  • Collaborate with infrastructure and DevOps teams to establish efficient deployment and scaling strategies.
  • Implement automated monitoring and alerting to track model performance and identify potential issues.

Requirements:

  • Strong proficiency in ML Ops principles and tools.
  • Proficiency in data engineering and pipeline development.
  • Experience with GCP, including Big Query, Cloud Composer, and Vertex AI.
  • Strong problem-solving and analytical skills.
  • Strong proficiency in Python.
  • Experience with Java would be beneficial.

Benefits:

  • Salary range: 180-200 net / hour (B2B).
  • Hybrid work arrangement, with 6 days a month in the office in Kraków.

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