Python ML Backend Engineer, Hamilton Township

Python ML Backend Engineer

Locaiton: Sunnyvale, CA (Onsite)

NOTE: W2 contract only no C2C Pls

Technology Stack Requirements

Backend: Python (Django, FastAPl)

Unit/integration testing (pytest)

Asynchronous job scheduling (Celery)

Adherence to PEP8 and PEP257 coding standards

Frontend: ReactJS (Next.js)

Machine Learning:

Python ML & DS ecosystem (PyTorch, XGBoost, scikit-learn, pandas, numpy)

Model interpretability & explainability frameworks (SHAP)

ML pipelines & workflow automation (MLflow, Airflow)

Infrastructure: AWS (EC2, S3, EKS, SageMaker)

Infrastructure as Code (laC) 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

CH/CD & Monitoring:

Automated linting, test & deployment: Jenkins

Telemetry & Monitoring: Prometheus, Grafana, AWS CloudWatch

Containerization & Orchestration: Docker,