Ample Insight
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 Engineer
Job not on LinkedIn
March 25
Ample Insight
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. • Fast growing consulting firm based in Toronto with clients ranging from leading startups to Fortune 500 companies. • Looking for a data engineer who is passionate about analytics and helping companies build and scale data. • Enjoy working with data and motivated to produce high quality data tools and pipelines. • Experienced in architecting data ETL workflows and schemas. • Critical thinking and problem-solving skills are essential.
🎯 Requirements
• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics. • Hands on experience working with user engagement, social, marketing, and/or finance data. • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries. • Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries. • Deep knowledge on performance tuning of ETL Jobs, SQL, and databases. • Working knowledge of Snowflake. • Experience working with Airflow is a strong plus. • Devops experiences is a plus.
🏖️ Benefits
• Competitive compensation. • Work on cool projects based on your interests and skills. • Believe in accountability and NOT micro-management.
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