MLOps Engineer
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Job Location:
Monthly Salary:
Posted on:
03-10-2025
Vacancies:
1 Vacancy
Department:
Job Summary
Summary:
Responsible for deploying monitoring and maintaining machine learning models in production. Ensures the reliability scalability and performance of AI/ML pipelines.
Key Responsibilities:
- Design and implement CI/CD pipelines for ML workflows.
- Manage model versioning testing and deployment.
- Monitor model performance and retrain as needed.
- Optimize infrastructure for cost and speed.
- Collaborate with data scientists engineers and DevOps teams
Required Skills:
- Proficiency in Python and ML frameworks (TensorFlow PyTorch Scikit-learn).
- Experience with cloud platforms (AWS Azure GCP).
- Knowledge of containerization (Docker Kubernetes).
- Familiarity with MLOps tools (MLflow Kubeflow SageMaker).
- Strong understanding of data pipelines and APIs.
Experience:
35 years in machine learning or DevOps with MLOps experience preferred.
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
