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.
You'll 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 systems including classical models, LLMs, and multi-agent architectures and turning them into real-world applications.
You'll 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, you;ll support HIDs success by :
Designing and implementing machine learning pipelines and models, including LLM-based solutionsTranslating prototypes and research into production-grade code and deployable componentsDeveloping and fine-tuning foundation models and LLMs for specific use casesTraining and optimizing numeric machine-learning modelsApplying prompt engineering and building agent-based architectures for complex task automationIntegrating models into backend systems and supporting real-time / batch inference servicesWorking with guardrails and observability tools to ensure safe and robust use of generative AIStaying up to date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the teamRoles & Responsibilities include the following (Other duties may be assigned) :
Hands-on experience with LLM solution development and integrationSolid understanding of modern LLM tools and frameworks such as :1. LangChain, LangGraph, CrewAI, Autogen
2. Azure OpenAI Studio, Gemini Studio
3. LangSmith or equivalent observability / debugging platforms
Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face TransformersDeep understanding of agent architecture, 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)Education and / or Experience :
6+ years of experience building and deploying machine learning models in productionBachelors or masters degree in computer science, Engineering, or a related technical fieldWhat 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(ref : hirist.tech)