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Machine Learning Threat Intelligence Engineer

Position Overview Senior Machine Learning Engineer responsible for designing, building, and supporting production-grade machine learning and generative AI solutions. This role focuses on model governance, risk management, and regulatory-aware AI implementations while working closely with data scientists and software engineers in a large, collaborative team. This is a hands-on engineering role supporting models deployed to production and contributing across the full ML lifecycle, from design through release and ongoing support.

Roles and Responsibilities:
  • Design, build, orchestrate, and implement machine learning solutions for production environments
  • Implement and support generative AI and large language model (LLM) solutions in production
  • Ensure model governance, risk management, and regulatory considerations are incorporated into all solutions
  • Provide ongoing support for models deployed to production applications
  • Partner with internal stakeholders to gather requirements and align technical delivery
  • Support release planning, coordination, and hands-on execution during release windows
  • Collaborate with data scientists and software engineers within a large, cross-functional team
Required Skills (5 7 years):
  • Experience implementing production solutions using generative AI and LLMs
  • Strong experience with machine learning solution design, build, orchestration, and implementation
  • Experience building solutions with model governance, risk management, and regulatory adherence
  • Hands-on experience with GPT 5.x LangChain RAG / RAGAS
Preferred Skills:
  • Experience in financial services
  • Azure AI Search, AI Agent Service, Document Intelligence, Content Safety
  • Microsoft Agent Framework / Foundry
  • LangGraph ChromaDB Redis Elasticsearch Arize Deepeval
Soft Skills:
  • Strong written and verbal communication skills
  • Ability to collaborate effectively within a team environment
Education: Bachelor's degree required

For applications and inquiries, contact: hirings@openkyber.com

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