remote
Azure AI/ML Engineer Remote, W2 - VAAM Technologies
ML Engineer
Remote Azure AI/ML Engineer responsible for designing, building, and operationalizing machine‑learning models and pipelines on Azure, leveraging Azure ML, Cognitive Services, and MLOps practices to deliver production‑grade analytics solutions.
About the role
Key Responsibilities
- Design, develop, and deploy AI/ML applications using Azure Machine Learning, Cognitive Services, and Bot Services.
- Build, orchestrate, and maintain end‑to‑end MLOps pipelines for model training, validation, and continuous delivery.
- Automate model deployment and monitoring with CI/CD tools, Docker containers, and Kubernetes clusters.
- Collaborate with data engineers and data scientists to create scalable data platforms and feature stores.
- Implement performance tuning, versioning, and governance to ensure model reliability and compliance.
Requirements
- Strong experience with Azure AI services (Azure ML, Cognitive Services, Bot Services) and MLOps concepts.
- Proficiency in Python for data processing, model development, and pipeline scripting.
- Hands‑on knowledge of CI/CD pipelines, Docker, and Kubernetes for containerized deployments.
- Solid understanding of data engineering fundamentals, including ETL, data lakes, and feature engineering.
- Excellent problem‑solving skills and ability to work independently in a remote environment.
Skills
mlopspythoncicddockerkubernetes