CitiusTech is a leader in HealthCare innovation. We work with over 120 medical technology, provider, payer and life sciences companies across the US. We are rated among top 100 Best Companies to Work For 8 years in a row and consistently achieved the highest NPS in the Industry.  

Data Science team at CitiusTech is helping many of our clients transform customer experience, improve health outcomes and achieve business excellence through the power of AI/ML. We are growing rapidly by 2x year on year. As a team, we are focused on Deep Work in AI / ML as well as building a culture of openness and respect for each other. 

Responsibilities

•   Deploy, operationalize, tune, and monitor models handed off by data scientists
•   Build code and instrumentation to execute multiple concurrent experiments
•   Support team in infrastructure for ML / AI integration and operating deployed models
•   Shorten the cycle time to deployment and feedback by bringing about and embodying ML Ops process and culture
•   Develop delivery model for diverse compute environments that span Cloud, datacenter, and IoT
•   Design and architect solutions and integration points for execution by teams of aligned engineers (e.g. infrastructure, UIUX, security, mobile)
•   Practical / applied ML pipeline experience
•  DAG construction experience in a tool like Airflow, Argo, Prefect, or similar workflow orchestration tools
•  Applied experience with Docker and exposure to reproducible environments in general  i.e. Ansible or Jenkins
•  Continuous integration experience
• Hands-on experience in DevOps
• Communicate functional outlines, timelines, risk factors in simple but effective terms to leadership
• Mentor teammates on their growth path with the view of skillsets needed by the program, contribute to pipeline of external talent by being active in the community

Requisite skills

•  Applied experience in cloud development
•  Applied experience with large data migrations
•  Applied experience with Docker
• Advanced python & SQL  skills
• Applied experience with Airflow or Cloud Composer
• Applied experience w Git, Github, or GitLab
• Exposure & understanding of Terraform
• Working knowledge of cloud security & networking