Machine Learning Engineer
hace 4 semanas
Machine Learning Engineer (MLOps)
Work from home.
Responsibilities
- 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 the model through a Container App or Endpoint for Business Planning Teams to simulate fuel costs based on different deployment scenarios.
- Azure DevOps/MLOps: Enhance the Azure DevOps/MLOps capabilities of MARC. Adhere to best practices in MLOps to ensure MARC’s pricing and inventory automation processes are properly developed, deployed, and monitored in a secure and efficient manner to reduce operational risks and increase system scalability.
Qualifications
- Knowledge of machine‑learning frameworks such as TensorFlow, PyTorch, etc.
- Experience creating and maintaining Python libraries for machine‑learning that provide a range of algorithms for classification, regression, clustering, etc.
- Skills to write efficient and scalable code for data processing, model training & deployment.
- Ability to select appropriate ML algorithms and train them on preprocessed data to create accurate predictive models.
- Experience with cloud‑computing platforms (preferably Azure).
- Experience with cloud‑based ML services (preferred Azure ML).
- Familiarity with Azure services such as ADF, Azure Functions, Azure Cosmos DB, etc.
- Experience with Azure DevOps principles & practices, including CI/CD pipelines.
- Knowledge of Azure Security Management for security policies and access controls.
- Experience with Azure Active Directory, network security groups.
- Strong data analytics skills for data profiling to train the model.
Benefits
- Stable Employment: Permanent contract offering long‑term job security.
- Learning & Development: Access to a wide range of online training platforms and professional development resources.
- Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online courses for different languages.
- Health Coverage: Comprehensive prepaid medical and dental plans.
- Insurance Protection: Life and accident insurance for peace of mind.
- Wellness Perks: Discounts and benefits through fitness and technology partnerships.
- Special Occasion benefits.
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