Machine Learning Operations

Ensono is seeking a Machine Learning Operations Engineer to build and maintain the lifecycle of ML models deployed in production. This role focuses on automation, monitoring, and performance optimization, ensuring AI systems are reliable, scalable, and cost-effective. The ideal candidate will collaborate closely with Data Scientists and ML Engineers to translate requirements into production-ready workflows.

Requirements

• Strong programming skills in Python with knowledge of C++ or Java
• Experience with Docker, Kubernetes, or similar orchestration platforms
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with MLOps platforms and tools (MLflow, Kubeflow, SageMaker)
• Strong background in monitoring, logging, and performance tuning of production ML systems
• Exposure to Snowflake, ServiceNow data flows, and enterprise IT operations datasets
• Knowledge of cost optimization strategies for AI/ML workloads