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Machine Learning Operations Engineer - Hybrid

Company: Bayer
Location: Chesterfield
Posted on: May 11, 2022

Job Description:

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Machine Learning Operations Engineer - Hybrid

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Machine Learning Operations Engineer, are to:

Coordinate with global teams to enable efficiently run models at scale with less resources, while ensuring quality and timeliness;Promote and train Small Molecules CLS data scientists on modeling best practices including model registration, documentation, versioning, repeatability and reusability, code review, standardization, optimization;Establish and improve proper orchestration of machine learning models and modeling workflows;Simplify, template and automate key model orchestration processes to improve efficiency and usability for data scientists;Establish CI/CD (continuous improvement, continuous delivery) work with cloud engineers;Establish and improve Quality Assurance (QA)/Quality Control (QC) integration testing for proactive automated quality verification;Establish and track model health and diagnostics.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. - More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

Bachelor of Science in Data Science, Statistics, Computer Science or Information Systems Management with at least five years of relevant work experience or Master of Science in a related field with at least two years of relevant work experience;Experience developing, deploying, and maintaining R Shiny or Python Dash applications using best practices;Solid understanding of machine learning fundamentals;AWS experience in DevOps, CI/CD, and microservices;Relational and No SQL database design and provisioning (e.g., Mongo, PostgreSQL);Passion for writing well-structured, well-tested, maintainable, versioned, performant and well-documented code;Excellent verbal and written communication skills.

Remote work may be available for this position

Relocation may be offered for this position

Entirely remote jobs that could be performed in Colorado: employees can expect to be paid a salary of approximately $115,000. - Additional compensation may include a bonus or commission (if relevant). - Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. - This salary (or salary range) is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. -IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its employees to be fully vaccinated against COVID-19. Bayer active employees are required to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status before participating in approved activities for fully vaccinated employees. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, if candidates are invited on site as visitors for in person interviews, they must provide proof of being vaccinated and comply with all safety protocols. Bayer will engage in an interactive process with individuals who request a vaccine exemption for qualified medical or religious reasons.Location:United States : Missouri : Chesterfield -- United States : Missouri : St. Louis -- United States : Residence Based : Residence Based - - -Division:Crop Science - -Reference Code:583948

Contact UsEmail:hrop_usa@bayer.com

Keywords: Bayer, Chesterfield , Machine Learning Operations Engineer - Hybrid, Engineering , Chesterfield, Missouri

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