MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Senior Machine Learning Engineer developing AI prototypes to enhance user experiences for dating products. Collaborating with cross-functional teams to deliver impactful ML/AI solutions.
Responsibilities
- Explore, design, and build AI prototypes capable of significantly altering our users’ experiences
- Work in close collaboration with Product Owner (Product Manager, Stakeholders) and Data Scientists to capture product requirements and design ML/AI based solutions, build and deliver in production ML/AI solutions, test new algorithms, provide feedback on their performance, accuracy, and scalability, and also suggest alternatives.
- Contributing to LLM-based initiatives to support business growth and dating user experience
- Write optimized code that is performant, scalable, testable, maintainable, and observable
- Design scalable solutions to productionize machine learning models
- Develop tools and pipelines for tracking models and experiments
- Design and implement data pipelines that ingest vast amounts of real-time data to power models and generate accurate results
- Manage ML models/Agent lifecycle, including versioning, training, retraining, deploying, and monitoring
- Be responsible for maintaining and operating algorithms, code, and models in production and monitor models in production to make sure that they are functioning and report on any anomalies
- Research/Investigate tools and technologies that would enable us to build and release faster
- Lay out best practices for the ML engineering functional role
- Evangelize a data-driven culture and participate in a highly collaborative environment. We want you to share your expertise!
Requirements
- B.S., M.S or PhD in computer science (or a scientific discipline coupled with substantial engineering experience)
- Minimum of 5+ years post-graduation experience as a Machine Learning Engineer, Software Engineer with algorithm experience, Data Scientist, or similar.
- Minimum of 3+ years of experience building and productionalizing ML pipelines and solutions within a commercial application in collaboration with a product owner and deploying and operating LLM solutions to support business feature development
- Minimum of 3+ years of experience supporting Data Scientists in the development and evaluation of ML models and their productionalization
- Significant experience in cutting-edge deep learning techniques and associated tools (such as PyTorch/Tensorflow)
- Excellent programming skills with a history of deployment to production, and you have a proven track record of scaling and productionizing machine learning solutions and models
- Solid understanding of mathematical modeling and statistics: inference, Bayesian methods, graphical models, network theory, likelihood estimation, Monte-Carlo methods, and sampling theory
- Understanding of how to optimize machine learning models (parallelization, batching techniques, etc)
- Ability to rapidly acquire and adopt new knowledge and techniques but also thinks creatively about problems and is not afraid to go “outside the box”
- Proficient with standard SQL and relational databases
- Familiarity with Python and associated data science/machine learning packages
- Comfortable working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary
- Ability to see the “big picture” and how your work relates to E&E’s entire business - and the ability to prioritize your research work accordingly
- Experience with GCP or other cloud providers
Benefits
- Generous vacation, flex days, professional development days
- RRSP matching, and employee stock purchase plan
- Professional development budget and unlimited access to Udemy from day one
- Match Group mentorship program
- Parental leave top up and fertility preservation benefits
- Extended health & dental benefits from day one
- Corporate ClassPass membership and other wellness benefits
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