ML Engineer – Generative AI & LLMs (Remote)
Ample Insight Inc.9 months ago
Remote, Canada or Toronto, CanadaMid Level
Responsibilities
- Design, prototype, and productize scalable machine learning solutions using LLMs and real-world data.
- Build or contribute to agentic systems involving tool use, memory, planning, and multi-agent coordination.
- Rapidly prototype emerging tools and research ideas and turn prototypes into production-ready services.
- Apply statistics, machine learning, and analytical reasoning to understand data and its effect on product or business outcomes.
- Work closely with clients and engineering and data science teammates in a consulting environment.
Requirements
- Expertise in LLM engineering, including familiarity with popular LLM providers and their best practices.
- Hands-on experience with statistics and machine learning and the ability to demonstrate ownership of LLM projects.
- Proficiency with Python ML tools including Pandas, NumPy, scikit-learn, XGBoost, and PyTorch.
- Proficiency with Git, Docker, SQL, Bash, and FastAPI.
- Strong analytical thinking, critical reasoning, business acumen, and the ability to turn prototypes into production-ready services.
- Bachelor's degree or higher, such as an MS or PhD, in Computer Science or a related engineering field involving coding.
- Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases is a bonus.
Benefits
- Remote work arrangement.
- Competitive compensation.
- Collaborative, high-performing team with an emphasis on accountability and not micromanagement.
- Opportunity to work with clients ranging from impactful technology startups to Fortune 500 companies.
Tech Stack
Categories
About Ample Insight Inc.
Ample Insight is a Toronto-based data science and engineering consultancy that builds machine learning, analytics, and data infrastructure for software companies and enterprises. Founded in 2018 and privately held, it delivers projects spanning ML models, computer vision, data governance, and MVP development, and supports embedding AI features into existing SaaS products. Revenue comes from consulting engagements and advisory services.