Machine Learning Operations Specialist

Job Summary :

A Machine Learning Operations (MLOps) Specialist plays a vital role in bridging the gap between data science and IT operations ensuring seamless integration of machine learning models into production environments. Heres a breakdown of the job :

Key Responsibilities :

Developing and Maintaining CI / CD Pipelines : Create automated workflows for building testing and deploying machine learning models.

Automating Deployment and Monitoring : Ensure models are deployed efficiently and their performance is continuously tracked in production environments.

Implementing Infrastructure as Code (IaC) : Manage ML infrastructure using code to ensure consistency and scalability.

Troubleshooting and Resolving Issues : Identify and fix problems related to model deployment and performance.

Collaboration : Work with data scientists and engineers to optimize model performance scalability and integration.

Requirements :

Education : Bachelors degree in Computer Science Engineering or a related field.

Experience : 5 years in MLOps DevOps or a related role.

Technical Expertise : Strong understanding of machine learning concepts algorithms and cloud platforms (AWS Azure GCP).

Scripting Skills : Proficiency in Python or similar scripting languages.

Containerization : Experience with Docker and Kubernetes.

CI / CD Tools : Familiarity with Jenkins GitLab CI CircleCI or similar.

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