Job Description
Responsibilities:
- Hands-on experience with cloud platforms (A zure ) is a must
- Azure infrastructure design and deployment using automation tools like Terraform and ARM template.
- Experience in designing and implementing ML platforms, cognitive APIs
- Experience in implementing container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans etc.
- Experience with MLOps , CI/CD, model monitoring, and automation
- API integration and containerization (Docker, Kubernetes, AKS)
- Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs is a plus.
- Skilled in prompt engineering, model fine-tuning, and evaluation
- Building data pipelines and integrating structured/unstructured data
- Understanding of data governance and regulatory compliance (HIPAA, GDPR)
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