ML Engineer

McLean, VA, US • Posted 2 days ago • Updated 36 minutes ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • Apache Spark
  • SQL
  • Pandas
  • NumPy
  • data bricks
  • Kubeflow
  • Apache Airflow
  • Model Training & Deployment
  • ML Pipeline Orchestration
  • CI/CD Automation
  • Model Monitoring & Governance
  • AWS
  • ML Ops
  • ML tooling
  • Kubernetes
  • Docker
  • Cloud-Native Architecture
  • EC2
  • ECS
  • eks
  • S3

Summary

Job Title: ML Engineer

Location: McLean, VA (Hybrid)

Required Qualifications

  • 5+ years of experience in Machine Learning Engineering, Software Engineering, or related disciplines
  • Strong proficiency in Python
  • Deep expertise with AWS services, including ECS, EC2, EKS, S3, and cloud-native architectures
  • Experience designing and deploying machine learning applications in production environments
  • Strong understanding of MLOps principles and the machine learning lifecycle
  • Experience with distributed data processing frameworks such as Apache Spark
  • Strong software engineering fundamentals, including version control, testing, and CI/CD practices

Must haves:

- Python (Spark, Pandas, NumPy)

- AWS

- ML Ops / ML tooling experience

- Hybrid on-site requirement (McLean, VA)

Thanks,

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: 90884655
  • Position Id: OOJ - 8628-7653-1784052919
  • Posted 2 days ago
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