AI Engineer

Remote • Posted 6 hours ago • Updated 6 hours ago
Full Time
Remote
$100,000 - $115,000/yr
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Python
  • Cloud Computing
  • Machine Learning Operations (ML Ops)
  • Algorithms
  • Data Structure
  • NoSQL
  • SQL
  • Database Design
  • Google Cloud Platform
  • A/B Testing
  • Apache Cassandra

Summary

Hiring: AI Engineer
Location: Sunnyvale, CA (Onsite Preferred | Remote Considered)
Experience: 10+ Years

We are seeking an experienced AI Engineer to design and build scalable, cloud-native machine learning platforms and production-grade AI solutions. This role requires strong software engineering fundamentals combined with hands-on experience deploying ML models at enterprise scale.

Required Skills:

  • 10+ years of software engineering experience
  • Strong Python development with Pytest, unit testing, and mocking
  • Experience designing cloud-native, distributed microservices
  • Expertise with Machine Learning architecture, model development, and productionization
  • Hands-on MLOps, ML lifecycle, training & inference pipelines
  • Building scalable data pipelines using Spark, Hadoop, Hive, and/or Redshift
  • Strong SQL/PLSQL and database design experience
  • Kubernetes, Helm, containerized deployments
  • Git, data structures, algorithms, and production-quality coding practices
  • Experience with NoSQL databases such as Cassandra or Azure Cosmos DB
  • Performance optimization, monitoring, debugging, and distributed systems
  • Strong communication skills and experience leading technical design discussions

Preferred:

  • Experience with Google Cloud Platform and Apache Airflow
  • Background building personalization/recommendation ML models
  • Experience with A/B testing, model monitoring, and experimentation

Responsibilities:

  • Design and deploy scalable ML services and cloud-based AI platforms
  • Build end-to-end training, inference, and data pipelines
  • Optimize model performance, latency, and scalability
  • Collaborate with data scientists and product teams to productionize ML solutions
  • Lead architecture discussions, code reviews, and engineering best practices
  • Troubleshoot production issues and drive continuous improvements

Note: An online coding assessment is required as part of the interview process.

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: 10439527
  • Position Id: 9010601
  • Posted 6 hours ago
Contact the job poster
AM

Anuradha Mahanand

Recruiter @ Tranzeal, Inc.
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