The Role

At the GenAI Pod, we’re pushing the boundaries of what’s possible. As a Senior Associate in our GenAI Lab start-up, you will:

Pioneer the design, development, and deployment of production machine learning pipelines

Shape machine learning-enabled, Audit applications

Deliver high-quality code contributions to our evolving codebase

Monitor and review live production models

Lead and guide workstreams on projects within your specialisation

Mentor and manage junior engineers on impactful workstreams

Skills and Experience

A passionate data scientist, who has invested time in understanding Generative AI and experienced the power of LLM

Practical experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assets

Engagement of technical and senior stakeholders

Ability to manage and coach a team of data scientists

Delivery of projects on time and in budget for high profile clients

Understanding of requirements for software engineering and data governance in data science

We make extensive use of the following technologies in our team. We expect you to be fluent with using these tools and practices on a daily basis.

Bachelor's degree (or more) in computer science / Data Science or a related technical discipline

Experience in Natural Language Processing

Extensive experience with modern Deep Learning (PyTorch/TensorFlow)

Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction

Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory

Strong knowledge of Python & SQL

Strong debugging skills

Git for version control

Azure / GCP for our cloud backend

Skills we’d like to hear about

Experience working with large data pipelines (using technologies such as Beam or Kafka)

Experience in LLMs using OpenAI, Gemini or open source models

Exposure to other programming languages (such as Java)

Experience of working on a project using agile concepts (such as working in sprints)

Familiarity with working in an MLOps environment.

Experience working with search engines (such as Elasticsearch)

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