Company Description
You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.
Job Description
We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.
Qualifications
Degree in Computer Science or Engineering.
Strong Python skills and experience building production-grade AI/ML systems.
Experience architecting complex agentic systems, including orchestration, tool use, memory, and state management.
Strong theoretical and practical foundations in machine learning, deep learning, statistics, and optimization, with experience designing, training, evaluating, and improving ML models.
Experience with AI evaluation, observability, reliability, and scalable infrastructure.
Ability to quickly turn cutting-edge research into working prototypes.
Strong problem-solving skills, product instincts, and a bias toward action.
Bonus: Familiarity with data privacy, permission-aware AI systems, and secure AI architectures.
Love solving hard problems at the frontier of AI? Come build what's next with us.
Additional Information
We have competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
Summary
Build and productize scalable AI/ML and agentic systems from research prototypes, working with structured and unstructured data. Requires a degree in computer science or engineering, strong Python, ML, deep learning, statistics and optimization foundations, and experience with orchestration, tool use, memory, state management, evaluation, observability and scalable infrastructure.
Responsibilities
Solve real-world problems with structured and/or unstructured data; productize scalable machine learning models; architect complex agentic systems; turn cutting-edge research into working prototypes.
Qualifications
Degree in Computer Science or Engineering; strong Python and production-grade AI/ML systems; architecting complex agentic systems; ML, deep learning, statistics, optimization; AI evaluation, observability, reliability, scalable infrastructure; rapid prototyping; problem-solving, product instincts, bias toward action; bonus familiarity with data privacy and secure AI architectures.
Education requirements
Degree in Computer Science or Engineering.
Experience requirements
Strong Python skills and experience building production-grade AI/ML systems; experience architecting complex agentic systems; strong ML/deep learning/statistics/optimization foundations; experience with AI evaluation, observability, reliability, and scalable infrastructure; ability to turn research into prototypes; strong problem-solving, product instincts, bias toward action.