Data Engineer (Machine Learning)

This is a remote position.

Data Engineer (Machine Learning)
A Data Engineer (Machine Learning) is required to lead platform engineering, deployment automation, and artificial intelligence and machine learning model deployment within a cloud environment. The role focuses on delivering secure, scalable, and cost efficient solutions while supporting full lifecycle management of machine learning models and advanced data engineering initiatives. Responsibilities include designing and implementing continuous integration and continuous deployment pipelines, managing multi environment deployments, automating infrastructure provisioning, and ensuring reliable platform performance across development, testing, and production environments.The position involves deploying and managing artificial intelligence and machine learning models for both batch and real time inference, implementing lifecycle management practices, and developing scalable application programming interface based solutions for model serving and system integration. Additional responsibilities include building and optimizing data pipelines and data models, ensuring data quality and governance, implementing secure cloud architectures, managing access controls and secrets, and optimizing cloud resource usage. The role also supports integration with internal and external systems, monitors system performance and model drift, and contributes to incident response, cost governance, and continuous improvement of architecture and processes.Qualifications

10+ years - Information technology experience with strong focus on DevOps, MLOps, or Data Engineering
10+ years - Designing and implementing continuous integration and continuous deployment pipelines using Azure DevOps, Git, and YAML
10+ years - Deploying artificial intelligence and machine learning models into production using automated pipelines
10+ years - Implementing model lifecycle management including training, validation, deployment, and monitoring
10+ years - Designing and building data pipelines using Azure Data Factory, Databricks, and Azure Data Lake Storage
5+ years - Infrastructure as Code using ARM, Bicep, or Terraform
5+ years - SQL and relational databases including Azure SQL and Oracle
5+ years - REST API development and integration
5+ years - Cluster management, scaling, and performance optimization
Nice to Have

Experience with Azure AI Search and Azure AI Foundry
Experience with event driven architecture including Event Grid or Service Bus
Experience with streaming platforms such as Kafka or Event Hubs
Experience with containerization technologies including Docker, Kubernetes, or Azure Kubernetes Service
Experience with large language models or generative artificial intelligence pipelines
Familiarity with data governance practices and medallion architecture
Strong problem solving and troubleshooting abilities
Ability to collaborate across DevOps, data, and machine learning teams
Strong communication and documentation skills
Leadership and mentoring capabilities







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