ML Engineer – Generative AI & LLMs (Remote)

BlackCube Labs; Canada; Remoto; CAD 110.000 - 170.000; Tempo pieno

Descrizione del lavoro

BlackCube Labs is seeking a Machine Learning Engineer to design, prototype, and deliver scalable ML solutions using LLMs and real-world data. You will collaborate with clients and teammates to turn research into production-ready services, emphasizing pragmatic execution and continuous learning.

The role requires deep expertise in LLMs, agentic systems, and a strong Python ML stack, with a passion for turning ideas into impactful products in a fast-paced consulting environment based in Toronto.

Competenze

• Must have: Expertise in LLM engineering and agentic systems; show ownership of LLM projects.
• Strong ability to rapidly prototype tools and ideas; turn prototypes into production-ready services.
• Hands-on statistics and ML experience; proficient with Python stack (Pandas, Numpy, scikit-learn, XGBoost, PyTorch) and development tools.
• Analytical mindset and business acumen; assess data impact on product outcomes.
• Bachelor's degree or higher in Computer Science or related engineering field.

Mansioni

• Design, prototype, and productize scalable ML solutions for clients and teammates.
• Collaborate in a high-performing team; emphasize clear thinking and continuous learning.

Conoscenze

LLM engineering

Agentic systems

Rapid prototyping

Python ML stack

Development tools

Analytical mindset

Business acumen

Formazione

Bachelor's degree or higher in CS or related field

Strumenti

Pandas

NumPy

scikit-learn

XGBoost

PyTorch

Git

Docker

SQL

Bash

FastAPI

Descrizione del lavoro

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.