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What You’ll Be Doing:

  • Generative AI (Proven Track Record Required)
  • Traditional ML & Deep Learning
  • Engineering & Cloud

Responsibilities:

  • Deliver production-ready AI/ML solutions from concept to deployment.
  • Lead the design and implementation of Generative AI applications.
  • Apply deep learning and traditional ML methods as appropriate.
  • Build scalable, cloud-native AI services and APIs.
  • Implement ML Ops pipelines for automation, testing, and monitoring.
  • Collaborate with product, engineering, and infrastructure teams.
  • Mentor teams on best practices for both traditional ML and Generative AI.

Qualifications:

  • Proven track record in delivering Generative AI/LLM solutions in production environments.
  • Minimum 4 years of programming experience with Python, Scala, or Java.
  • At least 2 years of hands-on experience with Generative AI or conversational AI projects.
  • Experience deploying traditional ML and deep learning models at scale.
  • Strong experience with PyTorch, TensorFlow, Scikit-learn, and relevant AI libraries.
  • Familiarity with vector search, embeddings, and semantic search architectures.
  • Understanding of ML Ops best practices for production deployments.

Location

  • This is a remote / virtual role
  • Candidate needs to be based in Vietnam

Job Summary

CompanyRackSpace
LocationVietnam - Remote
TypeFull-Time
LevelSenior
DomainAI / Data Science