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Machine Learning Engineer

1 tydzień temu

Warszawa, Mazovia, Polska Grupa FIEGE Polska Pełny etat
Overview: Our growing Data & AI team requires an experienced MLOps Engineer to rapidly implement ideas and create customer value.

Job Description: As an MLOps Engineer, you will be responsible for the deployment, optimization, and monitoring of machine learning models in our production environment. You will work closely with Data Scientists, Data Engineers, and DevOps teams to integrate models into existing systems.

Responsibilities:
  • Model Deployment: Efficiently deploy ML models into production environments.
  • Monitoring and Maintenance: Continuously monitor model performance and set up automated retraining pipelines.
  • Infrastructure Management: Manage and maintain cloud and on-premises infrastructure for model training and deployment.
  • Collaboration: Work closely with Data Scientists, Data Engineers, and DevOps teams to integrate models into existing systems.
  • CI/CD Pipelines: Build and maintain CI/CD pipelines for seamless model deployment.
  • Data Management: Create and manage data pipelines, ensuring data is clean and accessible for model training.
  • Security and Compliance: Ensure deployed models adhere to security best practices and compliance requirements.
  • Optimization: Optimize model performance and infrastructure for efficiency and cost-effectiveness.

Requirements:
  • Academic Qualification: Degree in computer science, mathematics, engineering, or a related field.
  • Professional Experience: At least 5 years of experience in a similar position as an MLOps Engineer or DevOps Engineer in the ML environment.
  • Good knowledge of Python and experience with ML Libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Experience with Cloud Services (Azure) and infrastructure tools (e.g., Docker, Kubernetes, Terraform).
  • Knowledge in building and deploying CI/CD Pipelines and version control Systems (Azure DevOps and Git).
  • Familiarity with MLOps practices and tools (e.g., MLflow).