| MLOPS Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Santhoshi, HAN IT Staffing [email protected] Reply to: [email protected] Role: MLOPS Engineer - Onsite Work location:MIAMI BEACH (US:33119), FL Client : Capgemini 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 Keywords: continuous integration continuous deployment machine learning database information technology Florida MLOPS Engineer [email protected] |
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| Tue Oct 01 19:56:00 UTC 2024 |