Machine Learning Operations

Machine Learning Operations (MLOps) Specialist Join to apply for the Machine Learning Operations (MLOps) Specialist role at Leading Edge HR Solutions . 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. Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Information Services #J-18808-Ljbffr