MLOps Engineer

Job Title: MLOps Engineer Job Description: We are seeking a highly skilled and experienced MLOps Engineer to join our client. As an MLOps Engineer, you will play a crucial role in developing and implementing machine learning operations processes and infrastructure to support our data science initiatives. Responsibilities: - Develop and maintain end-to-end machine learning operations (MLOps) pipelines for deploying, monitoring, and scaling machine learning models. - Collaborate with data scientists, software engineers, and DevOps teams to ensure seamless integration of ML models into production systems. - Design and implement automated testing frameworks for ML models to ensure accuracy, reliability, and performance. - Optimize model deployment processes by leveraging containerization technologies such as Docker or Kubernetes. - Implement continuous integration/continuous deployment (CI/CD) practices for ML model development lifecycle management. - Monitor deployed ML models in production environments to identify performance issues or anomalies. - Work closely with cross-functional teams to troubleshoot issues related to model performance or data quality in production systems. - Stay up-to-date with the latest advancements in MLOps toolkits, frameworks, best practices, and industry trends. Requirements: - Bachelors degree in computer science or a related field; advanced degree preferred. - Minimum 5 years of experience working as an MLOps Engineer or similar role within a data-driven organization. - Experience with Kubernetes and Kubeflow is mandatory. - Strong understanding of machine learning concepts and algorithms. - Proficiency in Python developing ML pipelines/scripts. - Experience with popular MLOps toolkits such as Kubeflow Pipelines, TensorFlow Extended (TFX), MLflow, etc., is essential. - Solid knowledge of containerization technologies like Docker and Kubernetes for deploying ML models at scale. - Familiarity with cloud platforms like AWS/Azure/GCP for building scalable infrastructure solutions is highly desirable - Experience with version control systems like Git/GitHub for managing code repositories - Excellent problem-solving skills with the ability to analyze complex technical issues related to ML model deployments. Location: Remote/Dallas. Originally posted on Himalayas