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Senior Machine Learning Operations Engineer - Remote

Kitchener, Canada

On the R&D team, you’ll join 700 scientists, researchers, clinicians, software developers, data scientists and engineers who work in all phases of the product development lifecycle – including concept, planning, development and validation on new product launches and patents. Together, you’ll build next-generation solutions that contribute to food safety, diagnostic innovations, drug development, big data technologies and more. The future of environmental, human and life sciences is up to you.

  • Full Time
  • Minimal Travel

Success Profile

We have found that the following traits and attributes help lead to a successful future in R&D at PerkinElmer.

  • Adaptable
  • Analytical
  • Collaborative
  • Proactive
  • Problem-Solver
  • Innovative

Employee Quote

There is a deep mutual respect for each other’s skills and contributions. Whether it’s taking on a new process skill or a new software skill, we are always moving forward so you never get bored – that’s what makes it exciting even after 30 years.

Jay Ives, Sr. Manager, Spectroscopy R&D


*Rewards may differ based on the location.

Medical, Dental and Vision
Healthcare FSA
Dependent Care FSA
Health and Wellness Programs

Employer Matching

Tuition Reimbursement
Professional Development

Maternity and
Paternity Leave

Paid Holidays and
Sick Days

Life and Disability

Work/Life Balance


Location(s) Kitchener, Canada Status Regular Job ID JR-021781

Imagine a world where you could detect health issues sooner to treat them more effectively. Where food and water are always safe, even in remote corners of the earth. And where scientific and medical research are enhanced to solve the greatest challenges of our times. At PerkinElmer, we imagine this world every day. Then, we innovate and collaborate to make it happen everywhere.

Our dedicated team of about 14,000 employees worldwide, pioneers scientific technologies for better detection, imaging, and informatics to help our customers work to create healthier families, improve the quality of life, and sustain the well-being and longevity of people globally.

If you are seeking a meaningful, impactful, and stimulating career, look no further! PerkinElmer is seeking a Senior Machine Learning Operations Engineer, to help our team deploy their AI solutions. The team works on solving novel problems in the Life Science space.

Our AI team in PerkinElmer is part of the Advanced Research Group. We are a small global team that works with various partners across PerkinElmer applying Machine Learning techniques to create unique solutions. We work closely alongside the User Experience and Software Development teams to ensure we are working on true differentiators and that there is a clear path to release.

When we are in the office, we are based in the Tannery building in the Kitchener-Waterloo area. This position may also be performed 100% Remote, in EST/CST.


  • Someone who builds, deploys, implements and/or modifies machine AI applications, including digital agents (e.g., chatbots), pattern recognition applications, (e.g., image, text, speech recognition) and automation scripts and utilities

  • Typically one who uses a combination of dataflow programming or pre-trained algorithms from an existing AI framework (e.g., TensorFlow, Caffe, MXNet, Cognitive Toolkit, Torch) but may also develop own scripts and algorithms in C++, Go, Java, Python, or equivalent languages

Basic Qualifications:

· Five years minimum of related experience with Data Science and MLOps

· Experience porting code from data scientists to production-ready models

· Strong Experience with end-to-end deployment using AWS Sagemaker

· Know how to design and implement REST APIs

· Must be able to communicate effectively with other team members

Preferred Qualifications:

· Familiarity with model registry and tracking using MLFlow or similar

· Collaborative teamwork using git and git projects through weekly sprints

· Ideal candidate will have an entrepreneurial mindset with flexibility with exploring and adopting new technologies

· Ability to Design, and implement solutions in the cloud or in hybrid architecture

· Ability to manage and maintain remote Linux-based compute workstations


Paid Vacation, holiday and sick time

Medical, Dental, Vision Coverage


Tuition Reimbursement

Parental Leave

Adoption Assistance


PerkinElmer is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. PerkinElmer is committed to a culturally diverse workforce.

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