MLOps Engineer

We are seeking a skilled MLOps Engineer to join our dynamic team in Karnataka. The ideal candidate will have a strong background in machine learning operations, with expertise in tools such as MLFlow, Docker, and Kubernetes. As an MLOps Engineer, you will play a crucial role in bridging the gap between data science and operations, ensuring that machine learning models are efficiently deployed and maintained in production environments. Key Responsibilities: - Collaborate with data scientists to understand model requirements and deployment strategies. - Design and implement scalable and reliable ML pipelines using MLFlow. - Utilize Docker for containerization of applications and Kubernetes for orchestration of containerized applications. - Monitor and optimize the performance of machine learning models in production. - Develop and maintain documentation for ML processes and workflows. - Troubleshoot and resolve issues related to model deployment and performance. - Stay updated with the latest trends and technologies in MLOps and machine learning. Required Skills: - Proficiency in MLOps practices and tools, particularly MLFlow. - Strong experience with Docker and Kubernetes for containerization and orchestration. - Familiarity with machine learning frameworks and libraries. - Excellent problem-solving skills and ability to work in a fast-paced environment. - Strong communication skills to collaborate effectively with cross-functional teams. If you are passionate about machine learning and have the skills to streamline ML operations, we encourage you to apply for this exciting opportunity.