Expert ML Software Engineer

**What Impact You'll 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 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. - The pay range for this position is: $150,000 - $165,000 **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. Virginia Pay Range $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 • 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 email [recruiting@grvty.com](mailto:recruiting@roycegeo.com) or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. [Know Your Rights: Workplace Discrimination is Illegal ()](https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf) 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.