Expert ML Software Engineer

What Impact Youll Have

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 Youll 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
• Bachelors 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

• Masters 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

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. Were 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 defenseincluding 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. Thats 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

Paid Parental Leave

401k with generous company match

Training and Development Opportunities

Award Programs

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 emailor call with requested details. A member of the HR team will respond to your request within 2 business days.

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Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit we will also keep your resume in our database for future opportunities.