Remote Life Sciences AI/ML Platform Engineer

Jobgether SRL; Town of Montana (WI); Remote; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Remote work within United States

Zusammenfassung

Jobgether seeks a seasoned AI/ML Solutions Architect to onboard clients, design production-grade AI solutions, and drive MLOps implementations. You will collaborate with engineering and data science teams to translate complex requirements into scalable deployments across cloud environments.

The role emphasizes deep technical leadership, ownership of strategic engagements, and delivering compliant, production-ready workflows in highly regulated life sciences settings.

Qualifikationen

• Strong software engineering background with deep proficiency in Python and familiarity with SQL, R, and Bash.
• Experience with Kubernetes and managed Kubernetes services such as EKS, AKS, or GKE.
• Hands-on experience with Docker and cloud architecture across AWS, Azure, and/or GCP.
• Ability to troubleshoot networking, compute, infrastructure, and platform-level issues in complex environments.
• Demonstrated experience delivering machine learning workflows, including model deployment and monitoring.

Aufgaben

• Learn the platform, customer environment, technical architecture, data landscape, tooling, and business objectives during onboarding.
• Progress toward full ownership of strategic life sciences customer engagements, independently managing prioritized backlogs.

Kenntnisse

Python

SQL

Bash

Kubernetes

Docker

Cloud (AWS/Azure/GCP)

Generative AI

AI/ML deployment

Monitoring

Tools

EKS

AKS

GKE

Jobbeschreibung

Jobgether seeks a seasoned AI/ML Solutions Architect to onboard clients, design production-grade AI solutions, and drive MLOps implementations. You will collaborate with engineering and data science teams to translate complex requirements into scalable deployments across cloud environments.

The role emphasizes deep technical leadership, ownership of strategic engagements, and delivering compliant, production-ready workflows in highly regulated life sciences settings.