Expert ML Software Engineer

GRVTY; Springfield (VA); On-site; USD 150,000 - 165,000; Full time

Benefits offered by this job

Health benefits

Competitive compensation

Paid time off

Job summary

GRVTY in Springfield, VA is seeking a hands-on ML engineer to design, build, and maintain ML systems that automate decision-making. The role blends software engineering with ML expertise and is onsite in the Springfield area.

You will develop models and end-to-end pipelines, deploy them as APIs, monitor performance, and retrain with new data while integrating with applications and cloud platforms. Strong credentials in Kubernetes, Python, and ML tooling are required for this role.

Qualifications

• US Citizenship with TS/SCI and ability to obtain a CI Polygraph.
• Bachelor’s degree in a relevant field with 8 years of experience.
• Expert knowledge of Kubernetes and Python; experience with Git, Linux, REST APIs.
• Backend development experience: API design, database integration, Docker.
• Experience with MLops tooling and workflow orchestration (MLflow, Kubeflow, Argo Workflows, or Airflow).
• Expert ML algorithms: supervised/unsupervised learning, NLP, PyTorch or TensorFlow.

Responsibilities

• Model Development: Create and train ML models for classification, regression, forecasting, or deep learning.
• Pipeline Design: Build end-to-end ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Deployment: Deploy models as APIs or backend services using frameworks like FastAPI, Flask, or Django.
• Monitoring & Maintenance: Track model performance, detect drift, and retrain with new data.
• Integration: Connect ML systems to applications, databases, and cloud platforms.

Skills

Kubernetes

Python

REST APIs

ML model development

Data engineering

Education

Bachelor's Degree in relevant field

Master's Degree in relevant field

Tools

Docker

Git

Linux

FastAPI

Job description

We are searching for a machine learning (ML) engineer in support of our customer in Springfield, VA. This ML Engineering role is onsite and combines software engineering and machine learning expertise. You will design, build, and maintain ML systems that learn from data to automate decision-making, such as predictive models, recommendation engines, or anomaly detection systems.

What You’ll be Owning

• Model Development: Create and train ML models for classification, regression, forecasting, or deep learning
• Pipeline Design: Build end-to-end ML pipelines for data preprocessing, feature engineering, model training, and evaluation
• Deployment: Deploy models as APIs or backend services using frameworks like FastAPI, Flask, or Django
• Monitoring & Maintenance: Track model performance, detect drift, and retrain with new data
• Integration: Connect ML systems to applications, databases, and cloud platforms.

What You Must Have

• US Citizen with a TS/SCI Clearance and Ability to obtain a CI Polygraph
• Bachelor’s Degree in relevant field of study with 8 years of experience
• Expert experience understanding of Kubernetes programming – Python is essential; with experience in Git, Linux, and REST APIs
• Expert experience in Backend Development – API design, database integration, containerization (Docker)
• Fundamental understanding of Math & Statistics – Linear algebra, probability, and/or calculus for ML theory
• Experience with MLOps tooling and workflow orchestration — experiment tracking and model registry (MLflow or equivalent), and pipeline orchestration on Kubernetes (Kubeflow, Argo Workflows, or Airflow) — supporting automated retraining, model versioning, and drift detection
• Expert experience developing ML algorithms — supervised/unsupervised learning, neural networks, and NLP — with hands‑on expertise in at least one major framework (PyTorch or TensorFlow) and the broader Python ML stack (scikit‑learn, pandas, NumPy)
• Expertise in Data Engineering – Data cleaning, feature engineering, preventing data leakage

What Would be Nice to Have

• Master’s Degree in relevant field of study with 6 years of experience
• Experience serving models for low‑latency inference at scale, including LLM serving frameworks (vLLM, TGI, or NVIDIA Triton Inference Server), GPU memory management, and batching/quantization tradeoffs
• Experience with GPU orchestration and scheduling on Kubernetes in shared or multi‑tenant clusters — NVIDIA Run:ai, KAI Scheduler, Kueue, Volcano, or Slurm.
• Expert experience of Cloud & CI/CD DevOps Pipeline– AWS, Azure, Google Cloud ML services, SageMaker, Vertex AI

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

$150,000 - $165,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

Robust health plan including medical, dental, and vision

Health Savings Account with company contribution

Annual Paid Time Off and Paid Holidays

401k with generous company match

Training and Development Opportunities

Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should [e-mail] or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.