OPSWAT

Machine Learning Engineer - My OPSWAT Portal

OPSWAT
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2 months ago
Ho Chi Minh City, VietnamMid Level

Responsibilities

  • Develop and integrate RAG, AI agents, recommendation and search systems, and AI-powered automation workflows.
  • Build and maintain data ingestion, embedding, retrieval, and evaluation pipelines.
  • Collaborate with developers and QA to design, build, test, and deliver AI features.
  • Work with DevOps to deploy, monitor, and optimize self-hosted LLMs.
  • Create evaluation gates for LLM changes and continuously improve accuracy, latency, cost efficiency, security, and reliability.

Requirements

  • At least 3+ years of relevant AI/ML engineering experience.
  • Strong Python skills, including building data pipelines for training datasets.
  • Understanding of prompt engineering, RAG, embeddings, vector databases, tool calling, AI agents, and LLM evaluation.
  • Experience with APIs, SQL and NoSQL databases, Docker, Git, and production AI systems.
  • Experience with LLM serving and APIs such as OpenAI, Anthropic, or Azure OpenAI.
  • Experience with inference tools such as vLLM or Ollama, including quantization and memory, latency, and quality trade-offs on constrained hardware.
  • Ability to design and run evaluations for nondeterministic systems and quantify improvements.
  • Strong English verbal and written communication skills.
  • Preferred qualifications include open-weight LLM fine-tuning, agent frameworks, LLM security, on-premises or offline compact-model deployment, evaluation tooling, and cybersecurity experience.

Benefits

  • The position is onsite.
  • OPSWAT is an equal opportunity employer.
OPSWAT

About OPSWAT

1,001-5,000 employees

OPSWAT builds cybersecurity software for critical infrastructure, delivering malware prevention, content disarm and reconstruction, secure file transfer, and device access control across IT, OT, and ICS environments. It sells enterprise software and SaaS platforms to public- and private-sector organizations worldwide. Founded in 2002 and headquartered in Tampa, Florida, the privately held company is used in regulated industries such as energy, government, and finance.

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