Job description

Job Overview Frontier Technology Inc. is seeking a highly skilled MLOps Engineer to design, develop, and deploy machine learning models at scale. This role will involve working closely with data scientists to ensure seamless model transitions from development to production. Key Responsibilities: • Pipeline Development: • Design and implement efficient MLOps pipelines to automate deployment and monitoring of machine learning models. • Develop and maintain CI/CD pipelines for ML model integration and delivery. • Cloud Management: • Manage deployment and operation of ML models on cloud platforms (AWS, Azure, GCP) using containerization tools like Docker and Kubernetes. • Ensure high availability, scalability, and cost-effectiveness of ML services. • Model Optimization: • Implement model monitoring systems to track model performance, data drift, and model decay. • Develop automated retraining pipelines triggered by data or performance metrics. • Team Collaboration: • Work closely with data scientists to ensure successful model deployments. • Contribute to data science discussions, providing insights on deployment feasibility and infrastructure requirements.

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