Top Machine Learning Jobs in Ottawa

The Data Intern will analyze content from pharma/biotech/MedTech sources, focusing on data quality and sourcing using machine learning methods. Tasks include spreadsheet manipulation and prompt engineering for LLMs, collaborating with data teams for industry insights.

As an Account Executive, you will drive new business opportunities and manage existing accounts in the telecom sector, contributing to revenue growth and sales strategy execution.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

The role involves building deep learning models for ad candidate retrieval and ranking, improving recommendation systems, and taking ownership of ML systems.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Lead the Expense Management Engineering team at Clio, focusing on building AI-powered billing solutions and managing a team of developers and managers.

Define and enforce ML quality strategy and acceptance criteria across data, model, and system levels. Design evaluation suites, metrics, and test datasets; automate ML QA using Python and CI/CD; build test harnesses and quality gates for training and deployment; evaluate CAD RL outputs; mentor teams, participate in code reviews, and document findings.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

Design and deploy ML solutions for video analytics. Build MLOps pipelines, collaborate on product features, and troubleshoot AI/ML issues.

As an ML Solutions Architect, you'll lead technical discussions, design ML architectures for clients, and ensure scalable solutions. You'll also provide client-facing leadership and collaborate with delivery teams for successful project execution.

As an ML Tech Lead, you'll provide technical leadership, mentor engineers, guide technical decisions, and ensure code quality in ML projects.

Design and deploy production ML models for pricing decisions at Lime, collaborating with engineers, mentoring teams, and influencing strategy.

Responsible for developing and deploying AI/ML models, integrating systems, optimizing LLM performance, and implementing MLOps practices within GCP.

The Director of Engineering, AI will lead AI initiatives, drive product strategy, manage engineering teams, and ensure effective technical execution in a fast-paced environment.