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.
Data Scientist
Job not on LinkedIn
🕒 April 1
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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
• Join a world-class team of engineers and data scientists from Facebook, Uber, Amazon, and Google • Work on data science projects with structured and/or unstructured data • Productize scalable machine learning models • Build data products to extract valuable business insights • Utilize critical thinking and problem-solving skills for the role
🎯 Requirements
• BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding • Experienced implementing and scaling machine learning models in production environments • Strong understanding of machine learning theory • Hands on experience with Statistics • Capable of quickly implementing prototypes of cutting-edge research papers • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries • Analytical mind and strong business acumen
🏖️ Benefits
• Competitive compensation • Work on cool projects based on your interests and skills • We believe in accountability and NOT micro-management
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