Lead AI/ML & MLOps Engineer executing projects from data foundations to model deployment. Collaborating with sales to drive AI/ML engagements for our clients.
About the role
- Machine Learning Software Engineer responsible for building and scaling ML solutions from research to production. Join RBC Borealis to revolutionize finance through AI and data innovation.
Responsibilities
- Build cutting edge ML solutions throughout the research and product development lifecycle
- Play a key role in the design and development of Borealis’ machine learning products
- Partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products
- Apply engineering and data best practices to build robust and scalable large-scale machine learning software systems
- Support projects with thorough documentation, design decisions, and technical advisory
Requirements
- Experience building modular and robust software systems in Python or similar language
- Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management
- Experience working across the entire ML research and product lifecycle from prototyping to production is a plus
- Experience building microservices, data pipelines and using relational and non-relational databases is a plus
- Experience working with data science tooling and deep learning frameworks is a plus
- Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus
Benefits
- Be part of a dynamic & flexible working environment
- Become part of a team that thinks progressively and works collaboratively
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact from a local-to-global scale
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied ML Engineer working on AI - driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
Adversarial Machine Learning Engineer conducting adversarial testing and simulations on LLM - driven AI systems for enterprise security. Collaborating with teams to validate and document findings.
MLOps Engineer managing infrastructure for large 2D and 3D media datasets at NBCUniversal. Responsible for automation, reproducibility, and performance of machine learning lifecycles.
Senior ML Engineer leading the strategic direction of machine learning infrastructure for global food delivery platform. Collaborating with Data Science team for seamless model deployment and innovation.
Machine Learning Intern/Co - op at Cohere working on developing and training models for AI applications. Join a team focused on advancing AI technology in an inclusive environment.
Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Senior Software Developer responsible for designing and developing solutions in data engineering and machine learning. Collaborating with teams to deliver scalable software solutions with agile methodologies.
Senior ML Engineer responsible for designing and building ML pipelines for a Trust Scoring platform. Involves productionizing models and implementing MLOps best practices.
Principal Machine Learning Engineer designing the core ML systems for AI agents at Workday. Collaborating in cross - functional teams to integrate ML solutions into the platform.