Director of MLOps at Manulife leading AI deployments and scalable solutions in Canada. Architecting MLOps capabilities to ensure governance and reusable AI solutions across segments.
About the role
- Machine Learning Engineer developing AI and data-driven solutions at Datatonic. Engaging in technical projects and leading client discussions with expertise in Python and machine learning.
Responsibilities
- Interpret vague requirements and develop models to solve real-world problems.
- Conduct ML experiments using programming languages with machine learning libraries.
- Leverage generative AI to develop innovative solutions.
- Optimise machine learning solutions for performance and scalability.
- Implement tailored machine learning code to meet specific needs.
- Ensure efficient data flow between databases and backend systems.
- Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
- Create machine learning architectures using Google Cloud tools and services.
- Build and deploy production-grade software for machine learning and data-driven solutions.
Requirements
- Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.
- Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
- Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
- Hands-on experience with foundational software engineering practices.
- Strong knowledge of SQL for querying and managing data.
- Experience scaling computations using GPUs or distributed computing systems.
- Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
- Strong communication and presentation skills to effectively convey technical concepts.
Benefits
- 20 days of paid vacation per calendar year
- Public Holidays for your Province of Residence
- 5 Wellness days (sickness, personal time, mental health)
- 5 Lifestyle days (religious events, volunteer day, sick day)
- Matching Group Retirement Savings Plan after 3 months
- Competitive Group Insurance plan on Day 1 - individual premium paid 100%!
- Virtual Medicine and Family Assistance Program - 100% employer-paid!
- Home office budget - We are 100% remote!
- CAD $70/month for internet/phone expenses
- Company-supplied MacBook Pro or Air
- CAD $400/year for books, relevant app subscriptions or an e-reader.
- Opportunities for paid certifications
- Opportunities for professional and personal learning through Udemy Business
- Regular company off-sites and meetups
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