ML Engineer - Generative AI & LLMs (Remote)

Ample Insight Inc.; Toronto; Remote; CAD 150,000 - 200,000; Full time

Job summary

A leading consulting firm in Toronto seeks a Machine Learning Engineer to design and build cutting-edge solutions. The ideal candidate will have expertise in LLM engineering, machine learning, and proficiency in the Python stack. This role requires collaboration with clients and a strong analytical mindset, offering competitive compensation and a non-micro-managed work environment.

Qualifications

• Experience with popular LLM providers and their best practices.
• Ability to turn prototypes into production-ready services.
• Critical thinking about data's impact on business outcomes.

Responsibilities

• Design, prototype, and productize scalable machine learning solutions.
• Collaborate with clients and teammates in a high-performing team environment.

Skills

Expertise in LLM engineering

Prototyping tools and research ideas

Hands-on experience with statistics and machine learning

Strong analytical mindset

Education

Bachelor's degree in Computer Science or related field

Tools

Python ML stack (Pandas, NumPy, scikit-learn, etc.)

Git

Docker

SQL

Bash

FastAPI

Job description

Overview

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.

Responsibilities

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.