Role overview

Qualifications

Expertise in LLM engineering with familiarity with popular LLM providers and best practices
Experience building or working with agentic systems (tool use, memory, planning, multi-agent coordination)
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; proficient with the Python ML stack (Pandas, NumPy, scikit-learn, XGBoost, PyTorch); proficient with Git, Docker, SQL, Bash, and FastAPI; Bachelor's degree or higher in Computer Science or a related engineering field involving coding

Responsibilities

Design, prototype, and productize scalable machine learning solutions using large language models and real-world data
Collaborate with clients and teammates to design, prototype, and deliver end-to-end ML systems
Turn prototypes into production-ready services and tools with strong quality and impact
Stay current with advances in LLMs and related tooling; contribute to continuous learning and best practices

Key facts

Remote from: Canada
Full time
Machine Learning Engineer
English

Other skills

Plan Execution
Accountability
Communication
Adaptability
Teamwork
Critical Thinking
Analytical Thinking
Business Acumen
Problem Solving

About the company

Ample Insight

We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!

Company details

Company typeStartup

Company size11 - 50

Links

Website LinkedIn See all jobs

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Job description

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’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.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.