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Machine Learning Engineer - Generative AI & LLMs (Remote)

Remote Contract

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Experience Level

Experience

Qualifications

Essential: Proficiency in LLM engineering, with knowledge of leading LLM providers and best practices. Experience with agentic systems (tool use, memory, planning, multi-agent coordination) is highly advantageous. Please share your LLM projects and outline your contributions. Demonstrated ability to rapidly prototype advanced tools and research concepts, successfully transitioning them into production-ready services. Practical experience with statistics and machine learning. Familiarity with the Python ML stack (Pandas, Numpy, scikit-learn, XGBoost, PyTorch, etc.) and development tools (Git, Docker, SQL, Bash, FastAPI) is required. Strong analytical capabilities and business insight; able to critically assess data and its influence on product or business outcomes. A Bachelor's degree or higher (Master's or PhD) in Computer Science or a related engineering discipline is required.

About the job

We are seeking dedicated Machine Learning Engineers with a passion for developing innovative systems utilizing large language models (LLMs) and real-world data. In this dynamic role, you will collaborate with clients and team members to design, prototype, and implement scalable machine learning solutions that drive results.

Join our high-performing, collaborative team that prioritizes clear communication, practical execution, and continual learning. If you excel in fast-paced environments, enjoy solving complex problems, and are committed to the quality and impact of your work, we would love to hear from you.

About Ample Insight Inc.

Join a premier team of engineers and data scientists hailing from industry giants like Facebook, Uber, Amazon, and Google. We are a rapidly expanding consulting firm based in Toronto, serving clients from innovative startups to Fortune 500 companies looking to enhance their engineering and data capabilities.

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