Machine Learning Operations Engineer
Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company's innovation-driven growth model takes advantage of world-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end-markets such as transportation, building and construction, and consumables. As a globally inclusive and diverse company, Eastman employs approximately 14,500 people around the world and serves customers in more than 100 countries. The company had 2020 revenues of approximately $8.5 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit www.eastman.com.
Role Description
This position is open to remote work.
Eastman is seeking an experienced Machine Learning (ML) Operations (MLOps) Engineer to join our centralized Data Science organization. This is an opportunity to be at the forefront of Eastman's digital transformation by leveraging data and technology to provide the critical insights needed to compete in our complex markets. We tackle complexity with machine learning technologies and empirical results coupled with deep business insights from close collaboration with our business and functional partners. We push the boundaries on digital solutions by aggressively learning and leveraging what's available. We use free and open source tools alongside cloud technology to innovate quickly and deploy successfully.
MLOps Engineers are responsible for all phases of the ML workflow including close support of our data scientists. Tasks include the implementation and maintenance of frameworks and platforms to support model development, deployment, and governance.
Responsibilities
- Implement MLOps tools, frameworks, and platforms to support ML development, deployment, and governance
- Create a repeatable and reusable ML workflow for model training, evaluation, deployment, and maintenance
- Design, maintain and improve end-to-end ML workflow
- Manage supporting automated pipelines
- Improve tracking and monitoring of models, experiments, artifacts, and data
- Engage with data engineers and data scientists in feature engineering efforts
- Diagnose and resolve ML workflow and production issues quickly
- Design and develop end-to-end (Data/Dev/MLOps) pipelines to efficiently delivery of analytics solutions
- Maintain infrastructure needed to support the MLOps function
Qualifications
- M.S. or Ph.D. in Computer Science with focus on ML or data science, Data Science, or related field of study.
- Minimum 3 years of experience in the following:
- ML Development Workflow
- DevOps, particularly CI/CD pipelines
- Python and R Development
- Linux Systems
- Containers and runtime platforms
- Experience in operationalization of Data Science projects using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning)
- Good understanding of ML concepts with experience in ML model development, deployment, and governance
- Excellent information management practices, such as thorough documentation, usage of wikis, and other collaboration tools
- Continuous commitment to lifelong learning
- Strong work ethic
- Sets goals and motivated to reach them
- Takes accountability and learns from mistakes
- Willing to adjust position based on additional information
- Ability to work effectively on a team with good communication skills
Eastman Chemical Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other characteristics protected by law.
Eastman is committed to creating a powerfully diverse workforce and a broadly inclusive workplace, where everyone can contribute to their fullest potential each day.
Estimated Salary: $20 to $28 per hour based on qualifications.
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