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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Expert ML Software Engineer - **Company:** GRVTY, LLC - **Location:** Springfield, VA, United States - **Experience:** Expert - **Salary:** $76,960.0 - $147,680.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Databases, Data Cleansing, Information Engineering, Information Leak Prevention, Linux, Django Web Framework, Memory Management, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Recommender Systems, Tensorflow, Azure Machine Learning, Software Engineering, Google Cloud, Feature Engineering, Pytorch, Flask (Web Framework), Delivery Pipeline, Large Language Models, Deep Learning, Backend, Git, Fastapi, Pandas, Containerization, Scikit Learn, Kubernetes, Slurm, Machine Learning Operations, Api Design, Restful APIs, Software Version Control, Docker, Unsupervised Learning - **Published:** August 18, 2026 - **Apply:** https://www.jofdav.com/jobs/59302639-expert-ml-software-engineer ## About the Role * 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 ## 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. ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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