At a Glance
- Tasks: Build cutting-edge ML systems with LLMs and real-world data.
- Company: Fast-growing consulting firm with a world-class team from top tech companies.
- Benefits: Competitive compensation, remote work, and a culture of accountability.
- Other info: Dynamic environment with opportunities for continuous learning and growth.
- Why this job: Join a collaborative team and make a real impact in the AI space.
- Qualifications: Expertise in LLM engineering and strong Python ML stack skills required.
The predicted salary is between 135000 - 165000 $ per year.
Contract
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 technologiesto Fortune 500companies looking to scale their engineering and data capabilities.
Job Description 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.
Qualifications
Must have : 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 us your LLM projects and detail your ownership and contributions.
Strong ability to rapidly prototype cutting-edge tools and research ideas, with a 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.
Bachelor's degree or higher (e.g., MS or PhD) in Computer Science or a related engineering field involving coding.
Bonus : Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases.
Additional Information We have competitive compensation.
We believe in accountability and NOT micro-management.
Job Location #J-18808-Ljbffr
ML Engineer – Remote in Toronto employer: Ample Insight Inc
Join a dynamic consulting firm in Toronto that boasts a world-class team of engineers and data scientists from top tech companies like Facebook, Uber, Amazon, and Google. We foster a collaborative work culture that prioritizes continuous learning and pragmatic execution, offering competitive compensation and opportunities for professional growth. If you're passionate about generative AI and eager to make a meaningful impact through innovative machine learning solutions, this is the perfect place for you.
