HID - Machine Learning Engineer - LLM

Profile Summary :

Were looking for an innovative and hands-on Machine Learning Engineer to join our corporate data science team, part of the CTOs Office at HID Global.

Youll collaborate with data scientists, ML Ops engineers, and full-stack developers to help bring AI-driven ideas into production.

This role focuses on building performance, scalable ML systemsincluding classical models, LLMs, and multi-agent architecturesand turning them into real-world applications.

Youll play a key role in shaping HIDs adoption of machine learning and generative AI, with responsibilities ranging from model development to prompt optimization to implementation of safety and governance mechanisms.

Qualifications :

- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

- The requirements listed below are representative of the knowledge, skill, and/or ability required.

- Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

As our Machine Learning Engineer, youll support HIDs 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

Roles & Responsibilities include the following (Other duties may be assigned) :

- Hands-on experience with LLM solution development and integration

- Solid understanding of modern LLM tools and frameworks such as :

- LangChain, LangGraph, CrewAI, Autogen

- Azure OpenAI Studio, Gemini Studio

- LangSmith or equivalent observability/debugging platforms

- Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers

- Deep understanding of agent architecture, prompt engineering, and LLM guardrails

- Experience with CI/CD practices, version control, testing, and model governance

- Comfortable working with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes)

- Bonus : Experience with vector databases (e., Pinecone, Weaviate, FAISS) or orchestration tools (e., MLflow, Airflow)

Education and/or Experience :

- 6+ years of experience building and deploying machine learning models in production

- Bachelors or masters degree in computer science, Engineering, or a related technical field

What we can offer you :

- Competitive salary and rewards package

- Competitive benefits and annual leave offering, allowing for work-life balance

- A vibrant, welcoming & inclusive culture

- Extensive career development opportunities and resources to maximize your potential

- To be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds