Who are we?
HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely.
We are a high-tech software company headquartered in Austin, TX, with over 4,500 worldwide employees. Check us out here : www.hidglobal.com and this video.
As our Machine Learning Engineer, you’ll support HID’s success by :
- Designing and implementing machine learning pipelines and models, including LLM-based solutions
- Translating prototypes and research into production-grade code and deployable components
- Developing and fine-tuning foundation models and LLMs for specific use cases
- Training and optimizing numeric machine-learning models
- Applying prompt engineering and building agent-based architectures for complex task automation
- Integrating models into backend systems and supporting real-time / batch inference services
- Working with guardrails and observability tools to ensure safe and robust use of generative AI
- Staying up to date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the team
Your Experience and Background include :
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field3+ years of experience building and deploying machine learning models in productionHands-on experience with LLM solution development and integrationSolid understanding of modern LLM tools and frameworks such as :– LangChain, LangGraph, CrewAI, Autogen– Azure OpenAI Studio, Gemini Studio– LangSmith or equivalent observability / debugging platformsProficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face TransformersDeep understanding of agent architectures, prompt engineering, and LLM guardrailsExperience with CI / CD practices, version control, testing, and model governanceComfortable working with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes)Bonus : Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or orchestration tools (e.g., MLflow, Airflow)What we can offer you :
Competitive salary and rewards packageCompetitive benefits and annual leave offering, allowing for work-life balanceA vibrant, welcoming & inclusive cultureExtensive career development opportunities and resources to maximize your potentialTo be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds