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 (Ia C): 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 Dev Ops 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 Git Lab CI Circle CI or similar.#J-18808-Ljbffr