Job Location: Austin, TX
Job Title: DevOps Engineer
Requisition ID: 215844BR
When you’re part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals.
Location/Division Specific Information
On-site (anywhere in the United States), Hybrid, or Remote.
How will you make an impact?
As part of the Machine Learning Operations (MLOPs) team within R&D AI Engineering, you will be responsible for developing and implementing machine learning pipelines across all Thermo Fisher R&D scientific divisions. You will build and manage staged pipelines across AWS environments and on-premise hardware in a fast-paced environment and work on sophisticated problems that improve our end users’ experiences, drive growth in a multifaceted company, and use analytics and MLOps technologies. Your goal is to create solutions enabling the development and deployment of AI/ML-enabled products in the cloud and onto edge devices.
What will you do?
You are a hands-on DevOps engineer who wants to make a difference!
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Work with the MLOps team to develop and maintain scalable MLOps frameworks and DataOps tools that can be integrated into ML Platforms for R&D data science and AI Engineering teams.
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Collaborate with biologists, chemists, experimentalists, and data scientists in other scientific divisions to support their R&D workflows and onboard MLOps frameworks.
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Set up and maintain computing resources for R&D data science projects, including GPU farms.
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Provide support for feature engineering, feature stores, ML model management, and ML model monitoring.
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Provide standard processes and run proofs-of-concept projects for automated and efficient model operations on a large scale.
How will you get here?
Education
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Bachelor’s degree in computer science, computer engineering, information systems, or a related field
Minimum Qualifications You Must Have:
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3+ years of experience in DevOps, MLOps, or software development with AWS
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Hands-on experience building pipelines and deploying software or machine learning solutions using CI/CD, DevOps, or MLOps principles
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Experience with Linux, shell scripting, and Python
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Experience with container runtimes such as Docker and ContainerD and container orchestration platforms such as Kubernetes
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Excellent oral and written communication skills to present technical information to both business and technology teams with clarity and precision
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Resourcefulness, creativity, excellent interpersonal skills, attention to detail, and the ability to help others tackle problems
Preferred Qualifications to Make You Stand Out From the Crowd:
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Experience with CI/CD tools such as Jenkins
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Experience with cloud pipelines
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Experience with building ML solutions using Amazon SageMaker
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Experience with ML compute and ML model management platforms
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Knowledge of frameworks used in ML model development such as Keras, PyTorch, or TensorFlow
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Experience in ETL/data engineering
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Experience with Jupyter
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Excellent grasp of software practices in an agile development environment
At Thermo Fisher Scientific, each one of our 65,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer.
Apply today! http://jobs.thermofisher.com
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
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