Moody's
Moody's is a global leader in credit ratings, investment research, and risk management solutions. They serve a diverse range of clients including banks, buy-side entities, corporations, and public sector organizations, providing them with insights and data to navigate risk and make informed decisions. With a focus on credit risk, climate analytics, and compliance solutions, Moody's aims to enhance decision-making processes and drive innovation in the financial services industry.
Credit Risk • Risk Management • Economic Analysis and Forecasting • Consulting • Training and Certification
MLOps Engineer
February 12
Moody's
Moody's is a global leader in credit ratings, investment research, and risk management solutions. They serve a diverse range of clients including banks, buy-side entities, corporations, and public sector organizations, providing them with insights and data to navigate risk and make informed decisions. With a focus on credit risk, climate analytics, and compliance solutions, Moody's aims to enhance decision-making processes and drive innovation in the financial services industry.
Credit Risk • Risk Management • Economic Analysis and Forecasting • Consulting • Training and Certification
📋 Description
• Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models. • Specifically execute continuous integration and continuous delivery (CI/CD) activities to release ML code and ML pipelines into a Production environment • Maintain the Machine Learning pipeline and make sure everything is running accurately and reliably • Liaise with senior stakeholders across the Data function and the wider business • Use industry best practices such as code reviews, pull requests, and peer testing to ensure high quality AI/ML deliverables • Build AI/ML model performance benchmarking, evaluation, monitoring capabilities and facilitates resolution of issues with the appropriate teams
🎯 Requirements
• Must Have: • Proven industry/commercial/research lab experience (2+ years) deploying machine learning models and maintaining ML pipelines, orchestration, deployment, monitoring, & support • Experience creating and maintaining deployment pipelines with CI/CD tools (2+ years) • Knowledge of cloud technologies (e.g. AWS) and Extensive Programming experience in Python & SQL • Experience in containerization and orchestration (such as Docker, Kubernetes) • Practical Knowledge of Machine Learning models in commercial settings • Good communication skills • Nice to Have: • Experience building batch and/or real-time data & ML pipelines • Familiarity with MLflow (or similar platforms like Kubeflow and other tools) • Promotes a practice of unifying system development (Dev) and system operations (Ops)
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