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About the Role
We’re looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world data. In this role, you’ll work closely with clients and teammates to design, prototype, and productize scalable machine learning solutions. You’ll be part of a collaborative, high-performing team that values clear thinking, pragmatic execution, and continuous learning. If you thrive in fast-paced environments, enjoy tackling open-ended problems, and care deeply about the quality and impact of your work, we’d love to connect.
Responsibilities
- Design, prototype, and productize scalable machine learning solutions.
- Work closely with clients and teammates.
Requirements
- Expertise in LLM engineering, including familiarity with popular LLM providers and their best practices.
- Experience building or working with agentic systems (e.g. tool use, memory, planning, multi-agent coordination) is a strong plus.
- Show LLM projects and detail ownership and contributions.
- Strong ability to rapidly prototype cutting-edge tools and research ideas.
- Track record of turning prototypes into production-ready services.
- Hands-on experience with statistics and machine learning.
- Comfortable working with the Python ML stack: Pandas, Numpy, scikit-learn, XGBoost, PyTorch, etc.
- Proficient with development tools such as Git, Docker, SQL, Bash, and FastAPI.
- Strong analytical mindset and business acumen.
- Able to think critically about data and its impact on product or business outcomes.
Skills
- LLM engineering
- Agentic systems
- Python ML stack
- Pandas
- Numpy
- scikit-learn
- XGBoost
- PyTorch
- Git
- Docker
- SQL
- Bash
- FastAPI
- AWS
- Azure
- GitHub Actions
- Spark
- Neo4j Cypher
- Graph databases
Education Level
- Bachelor's degree or higher (e.g., MS or PhD) in Computer Science or a related engineering field involving coding.
Salary/Compensations
- Competitive compensation.
About the Company
- 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.