Senior ML Engineer: Lead Scalable Production AI

Carbon Data Solutions; United States; Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Faculty in the United States is seeking a Senior Machine Learning Engineer to lead development and deployment of cutting-edge AI systems for our diverse clients in life sciences and beyond.

You will design, build, and deploy scalable production ML software and infrastructure that meet rigorous operational and ethical standards, mentor junior engineers, and partner with cross-functional teams to translate complex concepts into concrete solutions.

Qualifikationen

• Understanding the full ML lifecycle and deploying models in production.
• Hands-on experience with TensorFlow or PyTorch.
• Strong Python development skills and production-ready software design.
• Experience with cloud platforms and scalable infrastructure.

Aufgaben

• Lead development and deployment of scalable ML systems for diverse clients.
• Design and build production-grade ML software and infrastructure.
• Define best practices for deploying ML at scale.
• Collaborate with engineers, data scientists, product managers and commercial teams.
• Mentor junior engineers and shape engineering culture.

Kenntnisse

ML lifecycle

TensorFlow/PyTorch

Python

Cloud infrastructure

Docker & Kubernetes

Stakeholder comms

Tools

Cloud platforms (AWS/Azure/GCP)

Jobbeschreibung

Faculty in the United States is seeking a Senior Machine Learning Engineer to lead development and deployment of cutting-edge AI systems for our diverse clients in life sciences and beyond.

You will design, build, and deploy scalable production ML software and infrastructure that meet rigorous operational and ethical standards, mentor junior engineers, and partner with cross-functional teams to translate complex concepts into concrete solutions.