Job description

About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems—particularly LLM‑driven solutions—that solve high‑value, real‑world problems for enterprise clients. You’ll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI. Your work will directly contribute to AI systems that have the potential to transform industries—and society. Responsibilities Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users Analyse complex, large‑scale structured and unstructured datasets to uncover insights and opportunities Enhance LLM output quality across diverse use cases, including optimisation of multi‑step reasoning chains Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance Influence long‑term data and AI strategy, including governance, ethical AI, and scalable frameworks Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production‑ready solutions Mentor and uplift junior data scientists, setting standards for excellence Minimum Qualifications Bachelor's Degree in Mathematics, Statistics, Computer Science or a related field 5+ years of experience as a Data Scientist with hands‑on experience and a track record of delivering impactful ML and AI outcomes Experience within the AI sector Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi‑agent frameworks, GPT‑based systems) Python experience focused on machine learning and NLP Ability to translate complex technical concepts into clear, actionable insights for non‑technical stakeholders Empathy, humility, and a growth mindset—open to feedback and committed to collaboration Comfort working in an agile, fast‑evolving environment Preferred Qualifications Masters Degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related field Knowledge of other software languages in addition to Python Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

Requirements

Must-haves

Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
Analyse complex, large‑scale structured and unstructured datasets to uncover insights and opportunities
Enhance LLM output quality across diverse use cases, including optimisation of multi‑step reasoning chains
Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
Influence long‑term data and AI strategy, including governance, ethical AI, and scalable frameworks
Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production‑ready solutions
Mentor and uplift junior data scientists, setting standards for excellence
Bachelor's Degree in Mathematics, Statistics, Computer Science or a related field
5+ years of experience as a Data Scientist with hands‑on experience and a track record of delivering impactful ML and AI outcomes
Experience within the AI sector
Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi‑agent frameworks, GPT‑based systems)
Python experience focused on machine learning and NLP

Nice-to-haves

Masters Degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related field
Knowledge of other software languages in addition to Python
Why Join Us?
A high-performance culture
State-of-the-art technology
Experience world-class leadership
Scale of impact and purpose
A competitive salary and a huge growth trajectory
Work with the best in the industry
Flexible work environment
Diversity and creativity

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningllmmlpythonagile

Platform: greenhouse
Effort: quick