ML Engineer – Generative AI, LLMs

Job not on LinkedIn

🔥 12 hours ago

🌐 Mali, Canada – Remote

🇲🇱 Mali – Remote 🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ample Insight

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Ample Insight is a company that specializes in delivering innovative Artificial Intelligence (AI) solutions to businesses across various industries. They offer a wide range of services, including building AI minimum viable products (MVPs), enhancing AI performance, and integrating AI into existing products. Their proprietary platform, Atlas, acts as a data science co-pilot, facilitating data profiling, observability, and automated issue resolution to accelerate AI development. Ample Insight focuses on providing tailored solutions with expertise in AI, machine learning, data engineering, and product development to help organizations realize the full potential of AI.

📋 Description

• Design, prototype, and productize scalable machine learning solutions • Build cutting-edge systems with LLMs and real-world data • Work closely with clients and teammates • Turn prototypes into production-ready services • Tackle open-ended machine learning engineering problems

🎯 Requirements

• 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 • LLM projects demonstrating ownership and contributions • Track record of rapidly prototyping cutting-edge tools and research ideas and 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 Git, Docker, SQL, Bash, and FastAPI • Strong analytical mindset and business acumen • Bachelor's degree or higher in Computer Science or a related engineering field involving coding • Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases

🏖️ Benefits

• Competitive compensation • Remote work • Accountability and NOT micro-management

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