Role : Machine Learning, MLOps
Location : Cupertino, CA (Onsite)
Type : Contract
Essential Skills:
6+ years experience in Machine Learning Implementations
• Experience in ML Algorithms – Decision Trees, Radom Forest, XGBOOST etc.
• Experience in Structured Data Modelling
• Experience in Statistical Techniques and EDA
• Python REST APU Development using Flask/FASTAPI
• Good Understanding of LLM concepts (RAG, Prompting, Few Shot Prompting, SFT etc.)
• Good understanding of MLOps Architectures and Components
Application Programming Interface (API),
Machine Learning,
Python for Data Science
Desirable Skills:
Infrastructure as Code (IaC) using Terraform and Ansible
• Proper IAM role-based access controls
• Network security best practices (VPC, security groups, private subnets)
• MLOps:
• Model training, monitoring, & deployment (MLflow, AWS SageMaker, AWS Airflow)
• Data labeling & versioning (Label Studio, DVC
• CI/CD & Monitoring:
Thanks,
Sridar Guvvala
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