We are seeking a highly skilled Senior MLOps Engineer to join our dynamic team. The role involves designing, implementing, and maintaining scalable machine learning infrastructure and workflows to ensure efficient model deployment and monitoring. You will collaborate with data scientists, software engineers, and operations teams to streamline the lifecycle of machine learning models from development to production.

Responsibilities

Design, develop, and maintain scalable ML infrastructure and pipelines.
Collaborate with data scientists and engineers to deploy and monitor machine learning models in production.
Automate model training, testing, deployment, and monitoring processes.
Ensure reliability, scalability, and security of ML systems.
Troubleshoot and optimize performance of machine learning workflows.

Qualifications

4 to 7 years of experience in MLOps, DevOps, or related fields.
Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong experience with containerization and orchestration tools like Docker and Kubernetes.
Experience with cloud platforms such as AWS, GCP, or Azure.
Solid scripting and programming skills in Python, Bash, or similar languages.

Preferred Skills

Experience with CI/CD pipelines for ML models.
Knowledge of monitoring tools like Prometheus and Grafana.
Familiarity with data versioning tools such as DVC or MLflow.
Strong understanding of security best practices in ML deployment.

Education

Bachelor s degree in Computer Science, Engineering, or related field
Master s degree preferred

Employment type: Full-time

Experience level: Senior

Industry: Information Technology

Function area: Software Development

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Senior MLOps Engineer

Job Description

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