Data​/Modeling Engineer V

Reston only

Hybrid, 3 days onsite, 2 days offsite

Max Rate is *** /hr to Client, unless your Rate Card is set below that, in which case you must adhere to your Rate Card

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 Sage Maker. This role will drive model lifecycle quality, governance alignment, and engineering excellence.

• Own the monitoring, tracking, and maintenance of ML models across Domino and Sage Maker 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.

• Strong experience with AWS and ML engineering
• Proficiency in Python and MLflow
• Hands on expertise with Domino and Sage Maker 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

Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, but its increasingly moving towards No

SQL 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.

• Deep knowledge of SQL, data modeling, and tools like Spark, Hive, Airflow.

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

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.