Tallo logoTallo logo

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

Job

Hexaware Technologies, Inc

Reston, VA (In Person)

Full-Time

Posted 5 days ago (Updated 3 days ago) • Actively hiring

Expires 6/15/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

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

Similar remote jobs

Similar jobs in Reston, VA

Similar jobs in Virginia