Machine Learning Engineer

Aisquared

Washington, DC, United States
Hybrid
Ml deployment pipelines
Operationalize llms and ai/ml models
Model monitoring, logging, and alerting
Aisquared is seeking a highly skilled Machine Learning Engineer to join their AI team in Washington, DC. The role focuses on deploying and maintaining AI/ML systems, ensuring they are scalable and reliable, while collaborating with cross-functional teams

Job Summary

  • Focus on deploying, maintaining, and monitoring AI/ML systems that power our platform.
  • Work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions.
  • Play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring.

Matching Summary

Match Score: 85

Aisquared is seeking a highly skilled Machine Learning Engineer to join their AI team in Washington, DC. The role focuses on deploying and maintaining AI/ML systems, ensuring they are scalable and reliable, while collaborating with cross-functional teams.

Skills & Requirements

Must-have

  • ML deployment pipelines
  • Operationalize LLMs and AI/ML models
  • Model monitoring, logging, and alerting
  • CI/CD pipelines for ML workflows
  • Optimize runtime performance of ML models
  • Containerization and orchestration (Docker, Kubernetes)

Nice-to-have

  • Scalable production systems
  • High availability and reliability
  • Production-ready deployments
  • Cloud platforms (AWS, GCP, Azure)
  • MLOps best practices
  • Reliable, scalable systems
  • Cross-functional collaboration

Key Requirements

  • 5+ years of experience
  • Deploying and maintaining ML models in production
  • ML lifecycle tooling experience
  • Proficiency in Python
  • Familiarity with PyTorch or TensorFlow
  • Deep knowledge of Docker and Kubernetes
  • Expertise with cloud platforms (AWS, GCP, Azure)
  • Strong understanding of MLOps best practices
  • Excellent problem-solving skills
  • Strong communication and collaboration skills

Work Rights

Not specified

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