As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis’ client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions.
You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact.
At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback.
In this role your key responsibilities will include:
AI Research and Model Development
- Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle.
- Designing and optimising AI that enhances automation and decision-making.
- Ensuring AI models are scalable and efficient for real-world enterprise deployment.
- Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques.
- Evaluating AI model performance using statistical and business-driven metrics.
- Working on natural language to SQL AI transformations to extract data value.
- Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code).
- Speech to text.
- Developing explainable AI approaches for transparency and trust.
AI Integration into HR, Workforce Management, and Payroll Systems
- Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules.
- Automating repetitive HR tasks like payroll processing and compliance checks.
- Implementing AI-driven workforce forecasting and scheduling.
- Developing AI-powered insights for HR leaders to improve talent management.
- Enhancing employee self-service with AI bots, assistants, and workspaces.
AI Ethics, Privacy, and Security
- Designing AI systems that are safe, unbiased, and compliant with GDPR.
- Working with Legal teams to assess and mitigate AI-related risks.
- Ensuring AI models do not reinforce biases in HR processes.
- Implementing privacy-preserving techniques in AI solutions.
Collaboration and Cross-Functional Work
- Working with Product Managers, Engineers, and business stakeholders to define AI goals.
- Communicating AI concepts in a business-friendly manner.
- Leading AI experimentation initiatives and contributing to internal strategy discussions.
- Engaging with customers to understand AI needs and create practical solutions.
- Continuous learning and innovation.
- Staying up-to-date with AI and ML research relevant to HR and workforce management.
- Exploring new techniques in deep learning and generative AI.
- Publishing research findings in internal reports and industry conferences.
- Prototype and testing AI models before full-scale deployment.