What are the responsibilities and job description for the Python ML Backend Engineer position at AppLab Systems Inc?
Job Details
Python ML Backend Engineer
Locaiton: Sunnyvale, CA (Onsite)
NOTE: W2 contract only no C2C Pls
Technology Stack Requirements
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,
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