MLOps Engineer
Job Location:
Job Location:
Scottsdale, AZ - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Hi
Hope you are doing well.
Kindly check job description and share your recent resume.
Role : MLOPS Engineer
Location : Scottsdale AZ (Onsite)
Role Overview
We are looking for a skilled MLOps Engineer to design deploy and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability automation and governance.
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
Regards
Sanket Rawat
