Ample Insight
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
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.
ML Engineer – Generative AI, LLMs
🕒 February 12
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Ample Insight
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
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. • Collaborate with clients and teammates in a high-performing team environment. • Tackle open-ended problems and focus on the quality and impact of your work.
🎯 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. • 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. • Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases is a bonus.
🏖️ Benefits
• Competitive compensation • Accountability and NOT micro-management
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