MLOps Engineer

Job Description

We are CirrusLabs . Our vision is to become the worlds most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization. You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You arent afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented MLOps Engineer to join our team. If youre excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career. Experience - 3 - 8 years Location - Bengaluru Key Responsibilities: Design, implement, and maintain scalable and reliable MLOps pipelines. Develop and deploy machine learning models using Python. Manage containerized applications using Kubernetes. Implement and manage CI/CD pipelines to automate the deployment process. Collaborate with data scientists and software engineers to integrate machine learning models into production environments. Utilize GitHub for version control and collaboration on code repositories. Leverage Argo for workflow automation and orchestration. Monitor and optimize the performance of deployed models and infrastructure. Troubleshoot and resolve issues related to model deployment and infrastructure. Stay up-to-date with the latest trends and best practices in MLOps and machine learning. Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or in a similar role. Proficiency in Python programming. Hands-on experience with Kubernetes for container orchestration. Strong understanding of code deployment and CI/CD processes. Experience with GitHub for version control. Familiarity with Argo for workflow automation. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Masters degree in Computer Science, Engineering, or a related field. Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with monitoring tools and practices for machine learning models. Understanding of data engineering and data pipeline concepts. ",