Machine Learning Engineer

Role: Machine Learning Engineer
Location: Reston VA, in person interviews.

9 months

Job Description:

• Focused on manipulating data in a software engineering capacity.
• Some of that data might live in relational systems, but it s increasingly moving towards NoSQL systems and data lakes.
• Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.
• Construct datasets that are easy to analyze and support company requirements.
• Combine raw information from different sources to create consistent and machine-readable formats.

Overview:

• We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker.
• This role will drive model lifecycle quality, governance alignment, and engineering excellence.

Responsibilities:

• Own the monitoring, tracking, and maintenance of ML models across Domino and SageMaker platforms.
• Implement MLflow for parameters, metrics, artifact management, and end to end lineage.
• Build and maintain scalable data pipelines for training, validation, and inference processes.
• Develop custom evaluation metrics, explainability components, and fairness/bias testing frameworks.
• Package models for deployment and support model lifecycle transitions across environments.
• Collaborate with data scientists, engineering teams, and governance stakeholders to ensure compliance and operational readiness.

Required Skills and Experience:

• Strong experience with AWS and ML engineering
• Proficiency in Python and MLflow
• Hands on expertise with Domino and SageMaker SDKs
• Experience with feature engineering and scalable data pipelines
• Knowledge of model validation, explainability, and bias/fairness tooling
• Familiarity with Git based workflows, version control, and MLOps practices

Skills:

• This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.

Education/Work Experience

• Bachelor degree in Computer Science, Information Systems or related field
• Post-graduate degree desired
• Professional certification(s) desired 15 plus years relevant experience

Note:

• Reston only
• Hybrid, 3 days onsite, 2 days offsite