remote
ML Platform Engineer - BV Teck
Devops Engineer
Lead the design, deployment, and scaling of machine learning pipelines on cloud infrastructure, ensuring robust, secure, and high‑performance solutions for enterprise clients.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end ML pipelines using Python, TensorFlow/PyTorch, and data engineering best practices.
- Deploy models to AWS services (SageMaker, ECS, EKS) with Docker containers and Kubernetes orchestration.
- Implement CI/CD workflows for model training, testing, and production rollout using GitHub Actions or Jenkins.
- Monitor model performance, automate retraining triggers, and manage model versioning with MLflow or similar tools.
- Collaborate with data scientists, product managers, and DevOps to translate business requirements into scalable technical solutions.
Requirements
- 3+ years of experience building production ML systems.
- Proficiency in Python, SQL, and cloud-native services (AWS).
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of MLOps principles, model monitoring, and data governance.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningawsdockerkubernetescicd