MLOps Engineer

Machine Learning Engineer Hybrid in Mclean, VA Contract Must haves: - Python - AWS - Kubernetes - Kubeflow (or equivalent workflow experience) - Spark pandas, NumPy - ML Ops / ML tooling experience - Hybrid on-site requirement (must be able to work in-office; McLean preferred, New York possible) - Previous Capital One experience highly desirable Nice to haves: - SQL / data analysis experience - Databricks - Additional ML tooling experience (mlplot, Data bricks) - DevOps familiarity (Jenkins, C

Job Description: Data Machine Learning Engineer Mclean, VA - Hybrid long term contract only on w2 Must haves: - Python - AWS - Kubernetes - Kubeflow (or equivalent workflow experience) - Spark pandas, NumPy - ML Ops / ML tooling experience - Hybrid on-site requirement (must be able to work in-office; McLean preferred, New York possible) - Previous Capital One experience highly desirable Nice to haves: - SQL / data analysis experience - Databricks - Additional ML tooling experience

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Lead Software Engineers who specialize in full-stack architecture and MLOps to bridge the gap between software engineering,

Role: AI/ML Engineer Experience: 10+ Years Duration: 12 months Location: MC Lean , VA Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs Responsibilities: Design, develop, and deploy Machine Learning and AI solutions for business applications. Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.