ML Engineer – Generative AI & LLMs (Remote)

Ample Insight Inc; Toronto; Hybride; CAD 110 000 - 170 000; Plein temps

Résumé du poste

Ample Insight Inc. is seeking a Machine Learning Engineer for contract work in Toronto to design, prototype, and productize scalable ML solutions with LLMs.

You will collaborate closely with clients and teammates to translate research into production-ready services. The role requires hands-on experience with the Python ML stack, Docker, Git, and modern ML tooling; familiarity with cloud providers and graph databases is a bonus.

Qualifications

• Must have LLM engineering expertise with familiarity of providers and best practices.
• Prototype-to-production experience turning ideas into services.
• Strong Python ML stack proficiency: Pandas, Numpy, scikit-learn, PyTorch; Git, Docker, SQL, Bash, FastAPI.

Responsabilités

• Design, prototype, and productize scalable ML solutions for clients.
• Collaborate with clients and teammates to deploy systems and tools.
• Stay current with LLM providers, tools, and best practices.

Connaissances

LLM engineering

Agentic systems

Rapid prototyping

Python ML stack

Git

Docker

SQL

FastAPI

Analytics & business impact

Formation

Bachelor's degree or higher in CS or related field

Outils

AWS

Azure

Spark

Neo4j Cypher

GitHub Actions

Graph databases

Description du poste

• 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