Machine Learning, MLOps :: Onsite :: Locals

 

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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