Director of ML Engineering — Scale Production Models (Onsite)

Information Technology Senior Management Forum; McLean (VA); Presencial; USD 269.000 - 307.000; Jornada completa

Descripción de la vacante

Information Technology Senior Management Forum seeks a Director, Machine Learning Engineer to lead large-scale ML initiatives and deliver production-ready models for the financial services sector. Onsite in McLean, VA, you will blend model and software development, data pipelines, and cloud deployment while guiding a team of engineers.

You will mentor peers, drive best practices, and stay ahead of technology trends through hands-on leadership and collaboration across Product, Architecture,

Formación

• Bachelor’s or higher in CS/ML or related quantitative field.
• 8+ years’ programming experience in Python/Java/Golang/C++.
• 6+ years ML experience with PyTorch or TensorFlow and Pandas/NumPy/Scikit-learn.
• 6+ years operating large-scale distributed systems (Spark/Ray).
• 5+ years deploying ML in production with cloud (AWS/GCP/Azure) and Kubernetes.

Responsabilidades

• Deliver ML models and software components for complex business problems in financial services.
• Drive creation and evolution of ML models and software for intelligent systems.
• Lead large-scale ML initiatives with a customer-first perspective.
• Leverage cloud architectures to deliver ML models at scale.
• Optimize data pipelines for ML training and inference.
• Promote engineering and modeling best practices across lifecycles.

Conocimientos

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

AWS

GCP

Azure

Kubernetes

Open source frameworks

Educación

Bachelor’s Degree or higher in Computer Science, Machine Learning, or related quantitative field

Master’s or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field

Herramientas

Open source ML frameworks

Distributed systems tooling

Descripción del empleo

Information Technology Senior Management Forum seeks a Director, Machine Learning Engineer to lead large-scale ML initiatives and deliver production-ready models for the financial services sector. Onsite in McLean, VA, you will blend model and software development, data pipelines, and cloud deployment while guiding a team of engineers.

You will mentor peers, drive best practices, and stay ahead of technology trends through hands-on leadership and collaboration across Product, Architecture,