Senior Machine Learning Engineer

Senior Machine Learning Engineer

Position Type: Full-Time/Onsite in Richmond, VA - NO REMOTE

Level: Senior

Department: Engineering

About the Role

We are seeking an exceptional Senior Machine Learning Engineer to join our growing AI team. This role offers a unique opportunity to architect, develop, and deploy cutting-edge machine learning solutions that directly impact millions of users. As a senior member of our team, you will lead the design and implementation of scalable ML systems, with a particular focus on Natural Language Processing applications and robust MLOps practices.

The ideal candidate will bring deep expertise in production machine learning systems, demonstrating proficiency in MLOps , Natural Language Processing , and AWS SageMaker . You will work at the intersection of research and engineering, translating complex ML concepts into production-ready solutions while mentoring junior team members and establishing best practices across the organization.

Key Responsibilities

Machine Learning Development & Deployment

• Design, develop, and deploy sophisticated machine learning models with emphasis on NLP applications including text classification, named entity recognition, sentiment analysis, language generation, and semantic search


• Build and optimize end-to-end ML pipelines using AWS SageMaker, from data preprocessing and feature engineering through model training, evaluation, and deployment


• Implement state-of-the-art transformer-based models and fine-tune large language models for domain-specific applications


• Conduct rigorous experimentation, A/B testing, and model evaluation to ensure optimal performance and business impact


• Develop custom algorithms and innovative solutions for complex business problems that cannot be solved with off-the-shelf approaches

MLOps & Infrastructure

• Architect and maintain robust MLOps infrastructure ensuring seamless model lifecycle management from development to production


• Implement comprehensive CI/CD pipelines for ML models using tools such as SageMaker Pipelines, MLflow, or similar platforms


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