Data/Modeling Engineer V (MLOps / ML Engineer)
Role summary
This is a 12+ month contract role for a Data/Modelling Engineer V, focusing on MLOps and ML Engineering. The position is hybrid, requiring 3 days onsite in Reston, VA. The core responsibilities include managing the full ML model lifecycle from training to deployment and monitoring, implementing MLflow for experiment tracking, and building scalable data pipelines. The role also involves working with Domino and SageMaker SDKs, developing frameworks for model evaluation, explainability, and bias, and ensuring governance and production readiness. Required skills include strong AWS, MLOps, ML Engineering, Python, MLflow, Domino, SageMaker, and SQL with data modeling expertise. Experience with data pipelines using Spark, Airflow, or Hive is preferred.
Job Title: Data/Modelling Engineer V (MLOps / ML Engineer)
Duration: 12+ Months Contract
Location: Reston, VA (Hybrid – 3 Days Onsite)
Interview Type: In-Person
Job Description:
Key Responsibilities
- Manage ML model lifecycle (training → deployment → monitoring)
- Implement
MLflow
for experiment tracking & lineage
- Build scalable
data pipelines (training + inference)
- Work with
Domino & SageMaker SDKs
- Develop
model evaluation, explainability & bias frameworks
- Ensure governance, compliance, and production readiness
Required Skills
- Strong
AWS + MLOps + ML Engineering
- Hands-on
Python + MLflow
- Experience with
Domino + SageMaker
- Data pipelines (
Spark / Airflow / Hive preferred
)
- Knowledge of
model validation, fairness, explainability
- Strong
SQL + data modelling