MLOps Engineer

Sourced from cz.linkedin.com

TV Nova, the largest commercial TV network in Central Europe, is seeking an MLOps Engineer to join its AI/ML team. The role involves maintaining and optimizing batch-processing pipelines and building low-latency containerized serving systems using Docker, Kubernetes, and ML serving frameworks. The ideal candidate will bridge data science models and production, migrating from Databricks to real-time inference.

• Partner with AI/ML teams to package, optimize, and deploy Python, PySpark, and PyTorch models into production.
• Help execute migration from batch processing on Databricks to live, real-time inference systems on Kubernetes (AKS and AWS equivalents).
• Work with high-performance serving frameworks (e.g., Triton, ONNX Runtime, TorchServe) for low-latency model execution.
• Build, maintain, and monitor containerized ML applications across multi-cloud infrastructure (AWS, Azure).
• Maintain and improve CI/CD pipelines using GitHub Actions and GitLab CI.
• Uphold engineering standards through code reviews, documentation, and code quality.

• Proven track record of designing and managing high-availability production systems using Docker and Kubernetes.
• Strong programming skills in Python and solid understanding of ML frameworks, particularly PyTorch and PySpark.
• Hands-on experience with containerization and orchestration using Docker and Kubernetes.
• Experience operating in cloud environments (AWS or Azure) and familiarity with Databricks.
• Practical knowledge of setting up and maintaining CI/CD pipelines using GitHub Actions or GitLab CI.
• Strong software engineering mindset with dedication to code reviews, documentation, and automated testing.

• Familiarity with model compilation/optimization (ONNX, TensorRT).
• Experience or strong interest in compiled languages (Go, Rust, or C++).