MLOps Engineer - CI/CD Pipeline

Join Our Team as an MLOps Engineer | Remote Are you a tech enthusiast with a passion for enabling seamless machine learning pipelines and robust deployment systems? Do you love collaborating with dynamic teams and leveraging cutting-edge tools? If so, we want you on board We are seeking a skilled and driven MLOps Engineer to join our innovative team. This is a remote role, where you'll have the opportunity to work on exciting projects and shape the future of AI operations. What You'll Do : - Optimize ML Pipelines : Collaborate with data scientists and engineers to design, implement, and maintain scalable machine learning workflows. - Manage Infrastructure : Deploy and manage machine learning models using Databricks, ensuring high availability, reliability, and performance. - CI/CD for ML : Build and maintain automated pipelines using Jenkins to streamline code deployment, model training, and testing. - Cloud Operations : Design and manage cloud solutions on AWS and Azure, ensuring cost-efficiency and security for all ML operations. - Cross-functional Collaboration : Work closely with DevOps, data engineers, and product teams to integrate ML models into production systems. - Monitor and Troubleshoot : Implement monitoring and logging solutions to identify and resolve issues proactively, ensuring uninterrupted service delivery. What We're Looking For : - Experience : 3-5 years in MLOps, DevOps, or a related field, with a strong focus on automation, scalability, and cloud-based deployments. - Technical Expertise : Proficiency with Databricks for managing large-scale ML workflows. - Expertise in CI/CD tools like Jenkins. - Hands-on experience with AWS (SageMaker, S3, Lambda, etc.) and/or Azure (ML Studio, Kubernetes, etc. - Strong scripting skills in Python, Bash, or similar languages. - Problem Solver : A proactive attitude toward identifying bottlenecks and proposing innovative solutions. - Team Player : Strong communication and collaboration skills, with a knack for working in distributed teams. - Adaptability : Thrive in a fast-paced, ever-evolving tech landscape. Why Join Us : - Remote Flexibility : Work from anywhere while contributing to global-impact projects. - Learning Opportunities : Access to state-of-the-art tools and technologies. - Innovative Environment : Collaborate with passionate professionals in a supportive and creative culture. - Career Growth : Opportunities to lead initiatives and grow with the company. Ready to Shape the Future : - If you're excited about building robust MLOps pipelines and making an impact in the AI/ML domain, we'd love to hear from you Apply Now and become a part of our cutting-edge team. - Let's build something extraordinary together (ref:hirist.tech)

Location: in, IN

Posted Date: 11/23/2024