Machine Learning Engineer
hace 2 días
Machine Learning Engineer (MLOps) Capgemini Bogota, D.C., Capital District, Colombia Work from home Your Role 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. Azure DevOps/MLOps: A MLOps Engineer will enhance the AzureDevOps/MLOps capabilities of MARC. Proper adherence to best practices in MLOps will ensure that MARC’s 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. Required 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. What We Offer 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. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr
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Machine Learning Engineer
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Machine Learning Engineer
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