Job Description
What You’ll Do
- Design, build, and deploy agentic LLM‑driven systems with planning, tool‑use, workflow orchestration, and reasoning capabilities
- Apply machine learning and advanced analytics to power decision‑making within autonomous AI Co‑workers
- Enhance multi‑step reasoning quality, context management, and agent performance across real enterprise use cases
- Lead MLOps initiatives across evaluation, benchmarking, safety, and quality for autonomous systems
- Own and define the long‑term technical strategy for agentic AI frameworks, governance, and scalable deployment patterns across the organisation
- Act as a technical authority and trusted advisor to engineering, product, and executive teams in building production‑grade AI co-workers used by global clients
- Set technical standards and best practices, mentoring and uplifting data scientists across all levels, raising the bar for scientific and engineering excellence org-wide
About You
You are an experienced, senior Data Scientist with a strong track record of delivering impactful, production-grade ML systems, and deep curiosity about the fast‑moving agentic AI and LLM ecosystem. You thrive in ambiguity, communicate with clarity and authority, and take a pragmatic approach to building real, production‑ready intelligence at scale.
You bring:
- A Master’s or PhD in a quantitative discipline
- Extensive, demonstrated experience delivering high‑impact machine learning solutions in complex environments, ideally with a track record of technical leadership or setting direction for a team
- Strong NLP foundations: transformers, LSTMs, CNNs, topic modelling, supervised NLP
- Deep, hands‑on experience with LLM orchestration frameworks (LangChain, LlamaIndex), RAG, multi‑agent systems, and tool‑calling architectures
- Python focused on ML/AI and other languages
- Experience in software development is highly desired
- Ability to explain complex ideas clearly and influence senior cross‑functional and executive stakeholders
- Curiosity, humility, and a strong sense of ownership
- Comfort operating in a high‑velocity, evolving environment — and comfort bringing structure to that ambiguity for others
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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