Remote - MLOPS Engineer - CH

Role: MLOPS Engineer
Duration: 12 Months
Location: Remote

Job Description:
To enhance our Marine-Operations Performance Monitoring & Forecasting capabilities: MIAP Performance Monitoring: Includes code refactoring and enhancements on a dynamic, two-step regression model used to forecast performance of different shipboard systems (e.g. HVAC, Service Power). Fuel Forecasting: Creating an enhanced fuel forecasting model accounting for additional features (e.g. fuel type mix, speed, weather) and serving model through a Container App or Endpoint for Business Planning Teams to simulate fuel costs based on different deployment scenarios.
Note:

• Most important skill set is to be an excellent software engineer in Python. Should also know PySpark, Python Package Management, and MLFlow.
• AzureDevOps/MLOps: A MLOps Engineer will enhance the AzureDevOps/MLOps capabilities of MARC. Proper adherence to best practices in MLOps will ensure that MARCs pricing and inventory automation processes are being properly developed, deployed, and monitored in a secure and efficient manner to reduce operational risks and increase system scalability.
• ML Algorithm and techniques
• Feature selection & engineering, identifying, and selecting relevant features and engineering new features to improve model performance.
• Machine Learning frameworks such as TensorFlow, PyTorch etc.
• Creating and maintaining Python libraries for machine learning that provides a range of algorithms for classification, regression, clustering etc
• Skills to write efficient and scalable code for data processing, model training & deployment.
• Selecting appropriate ML algorithms and training them on the preprocessed data to create accurate predictive models.
• Cloud computing platform experience (preferably in Azure)
• Cloud based ML Services (preferred Azure ML)
• Azure services, such as ADF, Azure Functions, Azure Cosmos DB etc.
• Azure DevOps Principles & practices, including CI/CD pipelines.
• Azure Security Management for security policies, access controls
• Azure Active Directory, network security groups
• Strong data analytics skills for data profiling to train the model.

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