Job Details

Lead AI Engineer (ML/Python) - Infrastructure

Boston, Massachusetts, United States
Description As part of the Humana Machine Learning Platform team you will have the opportunity to work on challenging projects with the goal to improve the everyday life of our members. As an AI engineer on the Machine Learning Platform team you will be an individual contributor and collaborate with data scientist, analyst, business and IT teams to build data applications that create new capabilities for our partners. You will be expected to lead by example participating in programming, documentation, design session, code reviews, debugging, and bug fixes. Responsibilities Engineering Philosophy Engineering data science applications is not easy or trivial. It requires solid design, software development and social skills. Knowing this we work as a team to break apart the challenges inherent to our domain and work together to develop the best solution possible. To do this our team operates in an open environment where everybody is promoted to share their code and ideas, provide feedback on codeprocesses and document their work. Some of the tools we use Azure, Azure Dev Ops Azure Data Factory, Azure Databricks, Azure Kubernetes Service, CosmosDB Python, SQL and Bash SQL Server, PySpark, Kafka, HDFS RHEL, Docker Job Description bull Design and build a secure Machine Learning Platform infrastructure on Azure, using best practices in networking, data security, application security and Azure services bull Self-directed and comfortable supporting the devOps needs of multiple teams, systems and products bull Design and develop machine learning solutions for Humana enterprise Analytics. bull Possess understanding of computer science parallelism concepts and efficient data processing techniques suitable for machine learning applications bull Understand available data, including both in structured and unstructured formats, and recommend effective ways for storage and analytical processing in the cloud. bull Mentor more junior team members and act as a leader by example for the team. This is a very senior level position and will be expected to help grow and mature the overall skillset of the team. bull Comfortable working in a fast paced agile environment, closely interacting with business and some of industry's best software engineers, machine learning scientists, data engineers, and data scientists. Role Essentials bull BS in Computer Science or related field bull 2+ years of experience working on cloud platforms (prefer Azure). bull 2+ years of experience with terraform or similar infrastructure framework bull 2+ years of experience with containerization using Docker or similar technologies. bull 5+ years of software development experience, with at least moderate Python experience bull Familiar with version control and best practices around CICD bull Solid knowledge of authentication and authorization for data access and cloud services bull Solid knowledge of data structures and algorithms bull Willingness to learn new technologies and comprehend unfamiliar data domains and new business processes quickly Role Desirables bull Open source contributions and portfolio of shipped code at GitHub bull 3+ years of development on Azure Cloud Platform (including ADLS2, Databricks, ADF, ML Services, AKS) bull Azure Certifications. bull Prior experience of designing and building APIs and services for data HumanaStudioH Scheduled Weekly Hours 40

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