Enhance and refactor code for a dynamic, two‑step regression model used to forecast performance of shipboard systems (HVAC, Service Power, etc.).
Develop an improved Fuel Forecasting Model incorporating additional features (fuel mix, speed, weather) and deploy it via Container Apps or API endpoints for planning simulations.
Build predictive models using Python and PySpark, ensuring high accuracy, scalability, and robustness.
Perform feature engineering, feature selection, and data profiling to improve model performance.
Apply ML algorithms for regression, classification, and clustering using frameworks like TensorFlow, PyTorch, or equivalent.
Create and maintain Python machine‑learning libraries and reusable modules.
Enhance the Azure DevOps/MLOps ecosystem for model development, deployment, versioning, and monitoring.
Implement best practices for CI/CD, automated testing, environment management, and secure deployment pipelines.
Use MLflow for experiment tracking, model registry, and reproducibility.
Ensure strong governance through Azure security management, identity control (AAD), and secure networking.
Write efficient, scalable, production‑grade Python code for data processing, model training, and model serving.
Support system reliability, scalability, and performance for pricing, inventory automation, and forecasting tools.
Collaborate with cross‑functional teams (engineering, analytics, operations) to align models with operational needs.

Expert Python software engineering skills (most important).
Hands‑on experience with PySpark, MLflow, and Python package management.
Proficiency with Databricks for large‑scale data processing and modeling.
Experience with Azure DevOps, CI/CD pipelines, and MLOps principles.
Familiarity with cloud‑based ML environments (ideally Azure ML).
Strong understanding of ML algorithms, model development, and feature engineering.
Ability to write maintainable, scalable code for ML pipelines and deployments.
Strong analytical skills for data profiling and model training.

Machine Learning Engineer – MLOps

Key skills