Machine Learning Engineer (MLOps)

Join to apply for the Machine Learning Engineer role at Burtch WorksJoin to apply for the Machine Learning Engineer role at Burtch WorksThis range is provided by Burtch Works. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$120,000.00/yr - $150,000.00/yrJob Title: Machine Learning EngineerLocation: Washington, D.C. (Hybrid - 2 days onsite)About The CompanyOur client is a global leader in AI-optimized scheduling and forecasting platforms, empowering and rewarding individuals in the fast-food and Quick Service Restaurant (QSR) industry through innovative solutions. The company fosters a dynamic startup environment, encouraging innovation, collaboration, and ownership.Job SummaryThe Machine Learning Engineer will design, train, deploy, and monitor machine learning models that address real-world customer needs. This role is central to scaling AI-powered scheduling and forecasting solutions. The position is based in Washington, DC, and reports to the Chief Analytics Officer.Key ResponsibilitiesBuild and test machine learning models to support their platform.Design, build, and deploy data and ML pipelines on AWS.Enable an iterative lifecycle for data products to improve, integrate, and deploy.Standardize workflows, analysis, and modeling for deployment and observability in production.Develop monitoring and observability systems for ML models and experiments.Collaborate across teams to align modeling with engineering standards.RequirementsEducation: Bachelor’s or Master’s degree in a quantitative field.Experience:2–4 years of relevant experience.4+ years’ experience with Python and ML frameworks.1+ year of experience with MLOps and maintaining ML models at scale.Technical Skills:Strong knowledge and hands-on experience with:Python programmingSQL and relational databases; ETL processesCloud technologies (AWS, GCP, or Azure)Git or other version control systemsModel versioning/tracking (DVC, MLFlow)ML pipeline development/deployment (Metaflow, Kubeflow, Prefect, Dagster)Containers (Docker, Kubernetes)Visualization and monitoring tools (Dash, Streamlit)Modeling/tuning/optimization with frameworks (sklearn, PyTorch)Preferred QualificationsReal-time inference deployment and monitoring (FastAPI, Ray Serve).CI/CD practices.Model deployment strategies (A/B testing, canary release).Cross-functional collaboration (DevOps, Data Engineering, Data Science).Time series analysis and predictive modeling.BenefitsSalary range: $120-150KHealth and Wellness: Industry-best benefits.Work-Life Balance: HYBRID – 2 days in office, 3 days from home.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Burtch Works by 2xSign in to set job alerts for “Machine Learning Engineer” roles.Artificial Intelligence/Machine Learning (AI/ML) EngineerArlington, VA $140,000.00-$200,000.00 2 months agoChantilly, VA $140,000.00-$175,000.00 2 months agoAnnapolis Junction, MD $50,000.00-$120,000.00 1 year agoMachine Learning - Artificial Intelligence SME - ML, InnovationMcLean, VA $110,000.00-$180,000.00 1 week agoChevy Chase, MD $80,000.00-$185,000.00 3 days agoReston, VA $110,000.00-$125,000.00 1 month agoWashington DC-Baltimore Area $200,000.00-$225,000.00 4 days agoReston, VA $87,975.00-$103,500.00 1 month agoWashington DC-Baltimore Area $130,000.00-$150,000.00 2 weeks agoGermantown, MD $110,000.00-$146,000.00 1 week agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Created: 2025-09-17