Role : MLOPS Engineer
Location : Scottsdale AZ (Onsite)
Key Responsibilities
- Design and implement end-to-end ML pipelines from data ingestion to model deployment
- Build and manage CI/CD pipelines for ML models (training, testing, deployment)
- Automate model monitoring, retraining, and performance optimization
- Collaborate with Data Scientists and Data Engineers for productionizing ML models
- Ensure scalability, reliability, and security of ML systems
- Manage model versioning, experiment tracking, and lifecycle management
- Implement best practices for governance, compliance, and reproducibility
Key Skills & Expertise
- Strong programming skills in Python
- Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
- Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML
- Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI
- Experience with cloud platforms: AWS
- Strong understanding of data pipelines, ETL processes, and distributed systems