Machine Learning Engineer (APPLICATIONS PROGR 3)

at  University of California Davis

Under general supervision of the Associate Director of DevOps, in conjunction with the Machine Learning Architect and Senior Developers, the Machine Learning Engineer works within an agile team to develop, train, deploy, and maintain moderately complex machine learning models. This role researches the latest machine learning technologies and processes and makes recommendations for their utilization in new projects. This role works with a team of data scientists to develop, train new models and assist with complex data modeling. This role is responsible for integrating these models into existing production services, conducting performance & integration testing, and for monitoring the models to ensure they are functioning properly.

FOR FULL CONSIDERATION, APPLICANTS ARE ENCOURAGED TO UPLOAD LICENSE, CERTIFICATION AND/OR EDUCATIONAL DEGREE IF REQUIRED OF THE POSITION.

• Bachelor’s degree in computer science, Engineering, Mathematics, or Information Systems or equivalent combination of education and experience.
• 1+ year of professional experience as a machine learning engineer designing, developing, deploying, and supporting machine learning models and platforms for medium-sized projects.
• Experience with the entire Software Development Life Cycle (SDLC) of deploying machine learning models to production in one or more domains, such as classification, Natural Language Processing (NLP), computer vision, recommendation systems, and forecasting.
• Experience translating business requirements to technical solutions and developing technical specifications and documentation for use in the development and prioritization of work.
• Experience implementing machine learning algorithms in Python such as linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), Naive Bayes, neural networks, clustering, dimensionality reduction, and natural language processing (NLP).
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Oral, written and interpersonal skills to interact and communicate effectively and professionally with technical and nontechnical stakeholders.

PREFERRED QUALIFICATIONS

• 2+ years of professional experience as a machine learning engineer designing, developing, deploying, and supporting machine learning models and platforms.
• Experience with industry tools and platforms used to build scalable machine learning systems, such as Elasticsearch, Kubernetes, Docker, Redis, Apache Kafka, SQL, NoSQL, Infrastructure as Code (IaC), AWS Lambda, and/or Apache Spark.
• Experience building a CI/CD pipeline with Github Actions, TravisCI, or others.
• Experience with cloud computing platforms such as AWS, Azure, or GCP.
• Experience developing web applications and/or mobile applications.

SPECIAL REQUIREMENTS

• This position is a critical position and subject to a background check. Employment is contingent upon successful completion of background investigation including criminal history and identity checks.

Please refer the Job description for details