ML Ops Engineer
- חולון
- משרה קבועה
- משרה מלאה
- Collaborate with machine learning engineers and data managers to improve, validate, and deploy ML models at a large scale.
- Design and implement large-scale data pipelines using cloud computing.
- Design, and implement, and deploy large-scale pipelines for ML models in production
- maintenance and monitoring of performance reliability, and scalability.
- Work with us to continually grow and improve our ML workflows, tools, and data, to enhance our ML and data tools and workflows.
- 3+ years of software development experience in Python
- Strong experience with AWS Cloud services (Lambda, S3, ECS, EKS, EC2, etc.)
- Expertise in Kubernetes & Docker for containerized ML model deployments.
- Experience in orchestrating Machine Learning solutions for large-scale production.
- Deep understanding of CI/CD pipelines for ML models (GitHub Actions, etc.).
- Experience in Machine Learning Orchestration ( data version control, ML flow).
- Experience with ML Model Monitoring (e.g., Seldon, Grafana).
- Knowledge of Data Engineering Tools ( Airflow, Spark, or similar).
- Independence & Proactiveness - A self-starter approach who pushes boundaries and drives projects to completion.
- Strong Communication & Leadership Skills - Ability to work across teams and drive ML Ops best practices.
- Experience with MLOps frameworks (clearML / SageMaker / W&B) - Advantage
- Experience with TensorFlow - Advantage
- Familiarity with GPU-based model deployment and optimization - Advantage
- Background in computer vision and deep learning workflows - Advantage
- B.Sc in Computer Science or equivalent - Advantage
Mploy