Please send the updated resume to sharaq AT scadea DOT net / 908-six 3 six-2727 Ext 2228.

Job title: Machine Learning Engineer
On-site/Remote: Remote
Job industry: Healthcare

Duration: 10 months

 
Responsibilities:

Client's AI Dev and ML Ops teams are seeking a full time ML Ops Engineer to aid the migration of AI dev models to production.
 
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 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
• 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
• Bachelor's Degree in Mathematics, Computer Science, or Engineering

Master's Degree preferred