Machine Learning Operations (MLOps) Specialist

Machine Learning Operations (MLOps) 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. Here's 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: Bachelor's 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.Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@naukrigulf.com #J-18808-Ljbffr