Director, Machine Learning Engineer

Information Technology Senior Management Forum; McLean (VA); On-site; USD 269,000 - 307,000; Full time

Job summary

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,

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

AWS

GCP

Azure

Kubernetes

Open source frameworks

Education

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

Tools

Open source ML frameworks

Distributed systems tooling

Job description

The Director, Machine Learning Engineer role is an onsite position in McLean, VA, focused on leading large-scale machine learning initiatives and delivering production-ready models for the financial services industry. The position blends model and software development, data pipeline optimization, and cloud-scale deployment with engineering leadership.

Responsibilities

• Deliver machine learning models and software components to address challenging business problems in financial services, collaborating with Product, Architecture, Engineering, and Data Science teams
• Drive the creation and evolution of machine learning models and software for state-of-the-art intelligent systems
• Lead large-scale machine learning initiatives with a customer-first perspective
• Leverage cloud-based architectures and technologies to deliver optimized machine learning models at scale
• Optimize data pipelines that supply machine learning models
• Apply programming languages including Python, Scala, or Java
• Promote engineering and modeling best practices across the full engineering and modeling lifecycles
• Recruit, nurture, and retain top engineering talent
• Serve as a force-multiplier by balancing hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
• Stay current with technology trends through experimentation, learning new technologies, participating in internal and external technology communities, and mentoring across the engineering organization

Requirements

• Bachelor’s Degree or higher in Computer Science, Machine Learning, or a related quantitative field: Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
• At least 3 years of people leadership experience
• At least 8 years of experience programming with Python, Java, Golang, or C++
• At least 6 years of machine learning experience using industry standard frameworks PyTorch or Tensorflow and libraries such as Pandas, NumPy, and Scikit-learn
• At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or machine learning data
• At least 5 years of experience deploying and operating machine learning solutions in production, including operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized machine learning software systems

Technologies

• Python, Scala, Java, Golang, C++
• PyTorch, Tensorflow, Pandas, NumPy, Scikit-learn
• Spark, Ray
• AWS, GCP, Azure
• Kubernetes
• Open source frameworks, distributed systems, cloud-based architectures

Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial, and other benefits

Preferred Qualifications

• Master’s or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or a related field
• 5+ years of experience managing and leading an engineering team
• 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference
• 5+ years of experience optimizing ML algorithms, configurations, and infrastructure
• 5+ years of experience working with machine learning techniques (supervised, semi-supervised, unsupervised, reinforcement learning, etc.) and model types (regression, classification, clustering, etc.), including model architectures (RNNs, CNNs, LSTMs, Transformers)
• Experience with training concepts (loss function, hyperparameters, regularization) and evaluating model accuracy and diagnosing and addressing common issues such as underfitting and overfitting
• 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
• Ability to communicate complex technical concepts clearly to a variety of audiences
• Driving impact in the ML industry through conference presentations, papers, blog posts, open source contributions, or patents
• Experience hiring and developing high-performing ML engineers with an inspiring… **Note:** The remaining text continues exactly as in the source. There is a small mistake…
• Experience hiring and developing high-performing ML engineers with an inspiring leadership style
• Highly developed interpersonal, presentation, and communications skills

Location and Salary

McLean, VA (onsite)

Salary: USD 269,100 - 307,200 per yearly