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, Entra ID, 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, Gen AI, 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)
Technical leadership across architecture and engineering teams
Effective collaboration with cross-functional teams (product, data, Dev Ops)<...

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