Key skills
KubernetesKubeflowMachine learning conceptsPythonKubeflow PipelinesTensorFlow Extended (TFX)MLflowDockerAWSAzureGCPGitGitHubMachine LearningMLTensorFlowMLOpsVersion ControlCI/CD
About this role
Inizio Partners is seeking a highly skilled and experienced MLOps Engineer to join their client. The MLOps Engineer will play a crucial role in developing and implementing machine learning operations processes and infrastructure to support 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
- 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
- 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
- advanced degree preferred
- Familiarity with cloud platforms like AWS/Azure/GCP for building scalable infrastructure solutions is highly desirable