Machine Learning Operations Specialist, Digital Solutions
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- Sep 13, 2022 Post Date
Grow with the best. Join a smart, creative, and inspired team that accomplishes operational excellence. Bringing together individuals with diverse backgrounds, talents, and expertise, our 25,000 team members in over 400 locations worldwide are vital to making our Company stronger.
Your Opportunity
Stantec Digital Solutions is a group focused on Digital Engineering transformation for our customers around the world. We apply predictive technology to large volumes of data to solve a wide spectrum of problems.
The successful Machine Learning Operations (MLOps) Specialist will have experience in using cloud compute technology to automate the training, deployment, and assessment of machine learning models at scale. This is the position for you if you are eager to productionize ML for a diverse array of environmental and engineering use cases.
Your Key Responsibilities
- Developing ML products from beginning to end, including understanding the business need, identifying product requirement gaps, and executing code improvements in a timely manner.
- Leveraging appropriate Azure Cloud Services, ML platforms and frameworks to develop ML products.
- Research and implement ML approaches, including parallel and GPU computing, as well as explaining and justifying the selected approaches.
- Work with our engineering innovation leaders and Professional Services engineers to operationalize prototyped models.
- Refine and record documentation and frameworks for delivering products, services, and data.
Your Capabilities and Credentials
- Experience with ML engineering and operations
- Experience building apps using various cloud resources
- Experience writing code in Python, and/or Scala and confidence taking on new coding languages and frameworks
- Kubernetes and Docker experience is a plus.
- Experience with code version control using Git.
- Experience writing and speaking about technical concepts to various audiences is preferred
- Experience with the Azure cloud platform is considered an asset
- Experience writing SQL is preferred
- Experience designing and writing MLOps pipelines
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
Education and Experience
Bachelor’s degree in a quantitative subject with 0-5 years’ experience problem solving using computational tools on the cloud. A plus is additional education or equivalent professional or military experience in a quantitative field.
Typical office or home office environment working with computers and remaining sedentary for long periods of time.
This description is not a comprehensive list of activities, duties or responsibilities that may be required of the employee and duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.
Stantec is a place where the best and brightest come to build on each other’s talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.