Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
Azure
MLOps
Data Lake
Docker
AKS
Cloud AI Platforms
Job Details
AI/ML Engineer End-to-End AI Platform
Key Skills: Azure, MLOps, Data Lake, Docker, AKS, Cloud AI Platforms
Only W2 - No Corp to Corp
OPEN TO SPONSORSHIP
- Minimum 5 years of experience as a Data Scientist, with at least 2 years focused on machine learning engineering in cloud environments.
- Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS.
- Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring.
- Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus).
- Proficiency in Python, SQL, and Linux-based development environments.
- Strong understanding of MLOps principles, CI/CD pipelines, and production-grade APIs.
- Effective communicator with strong problem-solving skills and ability to work across teams.
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