Orchestrated by adept technical architects with over fifty years of applied expertise, KYNITE is an advanced technology company specializing in the disciplines of: Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services

• We are BigData Experts
• We are Cloud Experts
• We are Enterprise Architects
• We are Artificial Intelligence Innovators
• We are Technological Evangelists
• We are Doers
• We are Kynite

Nation's biggest Health-insurance company is building

• Data Sandbox for their partners to connect their data, apps and algorithms in a fully-governed cloud computing environment.

• Secure sandbox- Data Labs - to easily launch governed Virtual Machines with scalable compute and storage, with memory optimized and deep-learning features

• Data Onboarding & Curation - to quickly and safely onboard enterprise data from a variety of sources and curate a subset of data. 

• 7+ years of experience working in Data Science or an analytics/quantitative field
• Individual should be able to build data sandbox or data lab for outside partners to access and build ML models. 
• Extensive experience in researching and developing using AWS SageMaker, or other ML platforms
• Hands-on experience with AWS, containers, orchestration
• Experience working in Agile Scrum environments 
• Experience implementing solutions in a public cloud environment (AWS, Azure, or Google Cloud)
• Experience implementing Machine Learning pipelines in production environments such as Airflow, and/or SageMaker is a plus 
• Experience in AWS Workspaces is a plus
• 3+ years of direct experience in Machine Learning, or Natural Language Processing (NLP) 
• Solid experience using Python and SQL 
• Strong fundamentals in problem solving, algorithm design and complexity analysis 
• Strong communication and business facing skills 

US Citizens, Green Card holders, H1B's, EAD's and Work visa's can apply

This job is only for US residents only.