Principal AWS AI/ML Data Engineer - 100% Remote role - 12 Plus Months Contract
Key Skills Must have :
AWS cloud-based systems, AI ,ML, Kubernetes, Docker, Snowflake or Google BigQuery, SQL, programming in Java OR Scala OR C# and OR Python,
eDataForce has teamed up with a growing leader in health technology firm that just went through an IPO. They are looking for a hands-on Principal AWS AI/ML Data Engineer with a passion for working on deep complex problems. This is a unique opportunity to be one of the early members and a key contributor of the new, top-notch Data team that is growing. You bring data engineering best practices to production and maintenance of ML and analytics code.
Requirements:
· Graduate degree in Computer Science or other quantitative fields such as Engineering, Statistics, Mathematics, Machine Learning, Decision Science, Data Analytics, etc. Master and
· 10+ years of professional experience, or Ph.D. and 6+ years of professional experience.
· 10+ years of experience programming in Java/Scala/C# and/or Python, with understanding of distributed computing.
· 6+ years of experience in software engineering, including 4+ years in Data and AI/ML engineering, AI platform, AI/ML products.
· 3+ years’ experience with Kubernetes, Docker, deploying containers, automated build deployments or AWS Compute & Container Services.
· Solid experience and understanding of architecting, designing, and operationalization of large-scale data and analytics solutions on Cloud Data Warehouse such as Snowflake or Google BigQuery is a must.
· Expertise in using AWS cloud-based systems and services to acquire and deliver data.
· Excellent SQL knowledge and hands-on experience with the ability to create efficient data models.
· Extensive experience and working knowledge in data ETL, building AI/Data platform and ML solutions, Deep Learning, Knowledge Graph, NLP, classification, and optimization; Graph Neural Networks skills is a plus.