Machine Learning Engineer

Job Description

Work closely with the data scientists and data engineers to architect, build and support machine learning model training and deployment pipelines Implement continuous monitoring and evaluation systems that track model performance metrics Build machine learning infrastructure and productionize models Automate feature extraction and machine learning workflows Leverage third-party machine learning tools and infrastructure to develop reusable and high-performing machine learning systems Build development sandboxed environment Build and/or implement machine learning explainability tools Design, implement and maintain various deployment environments (Development, Staging, Production) Build feature stores to automate the input, tracking, and management of data into several machine learning models Skill Requirements: Advanced degree in computer science, math, statistics, or a related degree Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture Ability to design and implement cloud-based solutions and scalable data pipelines Strong analytical, problem-solving and teamwork skills Coding and programming languages, including Python, R, SQL, Java, and Scala. Work Experience and Education: Experience in Apache Spark and Databricks Experience with MLOps tools that support model versioning, experiment tracking, deployment, and production monitoring Experience in working with machine learning frameworks, libraries, and packages Experience building, deploying, and operationalizing Machine Learning models

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