Remote - MLOPS Engineer - CH
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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.