Senior ML Engineering Manager — Risk AI Platform Leader

Information Technology Senior Management Forum

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

11 days ago
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Benefits offered by this job

Performance-based incentive
Long term incentives (LTI)

Job summary

Information Technology Senior Management Forum in McLean, VA, is hiring a Machine Learning Engineer 5 to design, build, and deploy AI-powered risk management solutions with scalable ML pipelines.

You will work with Product and Data Science teams to deliver multi-tenant platforms, train and monitor models, and implement CI/CD for ML deployments using Python, Java, Scala, or Go on AWS/GCP/Azure with Kubernetes.

Qualifications

  • Bachelor's degree or higher in Computer Science or related quantitative field.
  • At least 6 years of experience programming with Python, Java, Golang, or C++.
  • At least 6 years of machine learning experience using PyTorch or TensorFlow and libraries Pandas, NumPy, Scikit-learn.
  • At least 6 years operating and using large scale distributed systems (Spark, Ray).
  • At least 4 years deploying and operating ML solutions in production, including cloud production services (AWS, GCP, Azure) and using Kubernetes.

Responsibilities

  • Design, build, and deliver machine learning models and components to address real-world business problems with Product and Data Science
  • Build and scale massive multi-tenant platforms for large-footprint ML model training and/or serving
  • Drive ML infrastructure decisions using modeling techniques and data/feature selection, training, tuning, dimensionality/bias/variance, and validation
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
  • Collaborate in cross-functional Agile teams to create and enhance software for big data and ML applications
  • Retrain, maintain, and monitor models in production
  • Leverage cloud-based architectures to deliver optimized ML models at scale
  • Construct optimized data pipelines to feed ML models
  • Apply CI/CD and test automation for successful deployment of ML models and application code
  • Manage code to reduce vulnerabilities; ensure risk-governed models and Responsible/Explainable AI practices
  • Use programming languages including Python, Scala, or Java

Skills

Python
Java
Golang
C++
PyTorch
TensorFlow
Pandas
NumPy
Scikit-learn
Spark
Ray
AWS
GCP
Azure
Kubernetes
SQL

Education

Bachelor’s Degree in Computer Science or related quantitative field
Master’s or doctoral degree in computer science or related field

Tools

Python
Scala
Java
Golang
C++

Job description

Information Technology Senior Management Forum in McLean, VA, is hiring a Machine Learning Engineer 5 to design, build, and deploy AI-powered risk management solutions with scalable ML pipelines.

You will work with Product and Data Science teams to deliver multi-tenant platforms, train and monitor models, and implement CI/CD for ML deployments using Python, Java, Scala, or Go on AWS/GCP/Azure with Kubernetes.

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