Job Location : Port Chester,NY, USA
We are building a privacy-first MLOps platform for data-driven organizations in healthcare and life sciences. The platform is designed to support the entire lifecycle of machine learning (ML) efforts to accelerate breakthrough medical research and bring clinical-grade ML solutions to market. Our fast-expanding strategic network includes early clinical and technology partners and organizations in the US and Europe.Job Description Responsibilities Help conceptualize and build an MLOps platform around data management in healthcare industry; from initial design to full implementation and deploymentWork with the team to design and implement tools and APIs for a centralized system with distributed agents/workersBuild supplementary software components that enable data scientists to interact with the platformRequirements Proficient in Python and/or Node.jsHands-on experience with AWS or Azure (IAM user and role management, EKS, S3, RDS, ELB, ECS) and a solid understanding of security applicationsIn-depth knowledge of designing, building and maintaining CI and CD data lines & deployment pipelines using Github Actions or JenkinsA good knowledge of Docker and Kubernetes technologiesSolid experience with NoSQL databases, mainly MongoDBExperience with RabbitMQComfortable with configuring and supporting Linux-based servers and applicationsA solid knowledge of networking, remote access management, VPCs, security groups, and can troubleshoot any type of network trafficExperience with on-prem server setup and monitoringExperience in the distribution of a wide variety of software products for testing, staging and production systems#J-18808-Ljbffr