Remote Contract Position for MLOps Engineer (12+ Years Exp) in Miami Beach, FL at Miami Beach, Florida, USA |
Email: [email protected] |
From: Gaurav Sharma, USG Inc. [email protected] Reply to: [email protected] Hi, Hope you are doing great. Please go through the job description given below and if you are interested do share an updated word copy of your resume and best time to reach you over the phone. Position: MLOps Engineer Locations: Miami Beach, FL 33119 Duration: Contract 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. 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. Thanks with regards, Gaurav Sharma | Sr. Technical Recruiter Email ID: [email protected] Keywords: continuous integration continuous deployment machine learning database golang Florida Idaho Kansas Remote Contract Position for MLOps Engineer (12+ Years Exp) in Miami Beach, FL [email protected] |
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Mon Sep 30 23:37:00 UTC 2024 |