Posted 7 days ago
ML Engineer – Generative AI & LLMs (Remote)
@ Ample Insight Inc.
Toronto, Ontario
Overview
Ample Insight Inc. is hiring a Machine Learning Engineer on a remote contract basis to design, prototype and productize scalable ML solutions with LLMs and real-world data, working closely with clients and teammates. The role calls for strong LLM engineering and agentic systems experience, a Python ML stack background and a computer science or engineering degree. The posting states competitive compensation and an accountability-focused, non-micro-managed culture.
Responsibilities:
- Design, prototype and productize scalable ML solutions
- Build systems with LLMs and real-world data
- Work closely with clients and teammates
- Turn prototypes into production-ready services
Requirements summary:
- Expertise in LLM engineering and provider best practices
- Experience with agentic systems is a strong plus
- Hands-on statistics and machine learning in Python
- Proficiency with Git, Docker, SQL, Bash and FastAPI
- Bachelor's degree or higher in computer science or related field
Tools & skills
Source and dates
Employer career site / ATS feed · smartrecruiters
- Employer posting date
- 2026-10-30
- First seen by our source
- 2026-10-30
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Research & science |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Ample Insight Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We build trusted AI and data solutions.
Full company description
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
- LinkedIn followers
- 26,437
- People associated on LinkedIn
- 14
- Reported office locations
- 720 King St W, Suite 908, Toronto, Ontario M5V 3S5, CA
- Business categories
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Ample Insight Inc.
- Ample Insight
- Specialties
- Data Science
- Machine Learning
- AI
- Analytics
- Computer Vision
- Software Engineering
- MVP
- Data Engineering
- Data Infrastructure
- Data Governance
- Generative AI
- LLM
- and ChatGPT
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
| Field | Value |
|---|---|
| Industry | Data Infrastructure and Analytics |
| Company size | 11-50 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2018 |
| Specialties | Data ScienceMachine LearningAIAnalyticsComputer VisionSoftware EngineeringMVPData EngineeringData InfrastructureData Governance |
| Open jobs on Jobsy | 8 |
| View page |
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.
Journal
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