ML Engineer – Generative AI & LLMs

Ample Insight Inc.; Remote; CAD 90,000 - 120,000; Full time

Job summary

A fast-growing consulting firm in Toronto is seeking passionate Machine Learning Engineers to join their world-class team. In this role, you'll design and prototype scalable machine learning solutions, working closely with clients and teammates. The ideal candidate will have expertise in LLM engineering, hands-on experience with the Python ML stack, and strong analytical skills. You'll thrive in a collaborative environment that values clear thinking and continuous learning while enjoying competitive compensation.

Qualifications

• Expertise in LLM engineering and familiarity with best practices.
• Strong ability to rapidly prototype tools and turn them into production services.
• Hands-on experience with statistics and machine learning.

Responsibilities

• Design, prototype, and productize scalable machine learning solutions.
• Collaborate with clients and teammates on projects.

Skills

Machine Learning Engineering

Prototyping

Analytical Mindset

Data Analysis

Education

Bachelor’s degree or higher in Computer Science or related field

Tools

Python ML stack (Pandas, NumPy, scikit-learn, XGBoost, PyTorch)

Git

Docker

SQL

Bash

FastAPI

Job description

• 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 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.