MLOps Engineer - W2 Only

MLOps Engineer Location: Hybrid in McLean, VA (preferred), OR New York City Role Overview We are seeking an MLOps Engineer to join a team focused on machine learning technology. This role involves the maintenance and development of ML serving pipelines. The engineer will collaborate with Data Science teams on various projects, including training pipelines and feature engineering. The position requires a hybrid on-site presence in either McLean, VA, or New York, NY. Key Responsibilities Maintain and develop ML serving pipelines using Kubeflow, Spark, and Python. Collaborate with Data Science teams on training pipelines and feature engineering. Develop features, deploy applications, perform testing, and implement vulnerability fixes. Debug and provide support for production ML pipelines and CI/CD workflows. Support integration efforts across various groups and the enterprise. Build, train, and deploy machine learning models. Support models related to credit card decisioning, fraud tracking, and risk assessment. Required Qualifications Experience with MLOps and ML tooling. Proficiency in Python. Knowledge of Kubernetes and AWS. Experience with Kubeflow or equivalent workflow tools. Familiarity with Spark, pandas, and NumPy. Preferred Qualifications Experience with SQL and data analysis. Familiarity with Databricks. Knowledge of additional ML tooling, such as mlplot. Understanding of DevOps concepts, including Jenkins and CI/CD pipelines. An AWS Solution Architect Certification is considered an asset. Pay: $65.00 - $70.00 per hour Application Question(s): What is your current location? What is your visa status? Work Location: Hybrid remote in McLean, VA 22103