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AI/ML Engineer - Min 8+ years of experience - F2F Interview

Reston, VA, US • Posted 8 hours ago • Updated 4 hours ago

Full Time

On-site

$100,000 - $120,000/yr

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

AWS
MLflow
Python
SageMaker

Summary

Role: ML/Data Engineer

Location- Reston, VA(In Person Interview at Herndon VA )

Duration: Fulltime

Onsite: 5 Days Onsite

Experience: Min 8+ Years

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 & 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: hexaware
Position Id: 8969632
Posted 8 hours ago

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