| ML Ops Engineer at Miami, Florida, USA |
| Email: [email protected] |
| From: Santhoshi, HAN IT Staffing [email protected] Reply to: [email protected] Role: ML Ops Engineer - Hybrid (Need Only Local) Location: MIAMI, FL Client : Capgemini Job Description Understand the requirements for advanced analytics, including BI and Data Science, accordingly, deliver the ML Ops framework. Design and implement ML Ops for enabling platform for model deployments, creating model inference pipelines, managing model versions. Managing and maintaining ML Models in production environment. This will include providing the platform and configuration for ML Models, deployment support, monitoring. Building and managing deployment pipelines Monitoring model performance Managing model versioning Managing ML Infrastructure ML Algorithm and techniques Programming language such as Python, R, and Java Machine Learning frameworks such as TensorFlow, PyTorch etc. Skills to write efficient and scalable code for data processing, model training & deployment. 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 Skills Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark), Databricks & MLFlow, SQL. Keywords: continuous integration continuous deployment machine learning business intelligence database rlang information technology Florida ML Ops Engineer [email protected] |
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| Sat Jun 15 03:05:00 UTC 2024 |