Platform, Data & AI-Operations Engineer

• Strong experience in building and managing backend services using REST APIs and streaming architectures
• Hands-on expertise with Kubernetes for container orchestration and deployment
• Proficiency in at least one programming language such as Python, Java, Go, or C++
• Experience designing and maintaining data pipelines and clip indexing systems

• Solid understanding of MLOps practices, including:

• Model registry and versioning
• Model serving and deployment
• CI/CD for ML workloads
• Performance monitoring and lifecycle management

Knowledge of cloud-native architectures and distributed systems

Familiarity with automation, monitoring, and observability tools

Strong problem-solving, communication, and collaboration skills