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Bring machine learning applications to production (CI/CD, testing, code hardening and optimisation)
Develop data ingestion pipelines to support model training and inference
Assist in automation of machine learning lifecycle (monitoring and recurrent training)
Monitor and troubleshoot machine learning development (AzureML) and production (Kubernetes) infrastructure
Read and follow the Underwriters Laboratories Code of Conduct, and follow all physical and digital security practices
Performs other duties as directed.
Mission: For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure, and sustainable place has been our business model for over 125 years and is deeply ingrained in everything we do.
People: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best.
Interesting work: Every day is different for us here as we eagerly anticipate the next innovation that our customers create. We’re inspired to take on the challenge that will transform how people live, work, and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.
Grow & achieve: We learn, work, and grow together with targeted development, reward, and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.
Some related experience or demonstrated competency Minimum of Bachelor’s degree in Data Analytics, Data Science or Computer Science Strong software engineering fundamentals; design and architecture, developing, testing.
Fluency in Python.
Familiarity with OOP and design patterns Strong data science fundamentals; analysis, training, tuning and evaluation.
Excellent problem-solving and analytical skills.
Ability to articulate an idea with strong communication and presentation skills.
Work as part of a small team, sharing ideas and contributing to the strategic goals.
Advanced English.
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#Remote
UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:
Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.
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