Lead Machine Learning Engineer - Genai

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Client:

Codesearch AI

Location:

Dubai (Remote work from the UK or Europe considered)

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

01.04.2025

Expiry Date:

16.05.2025

Job Description:

An unsolved problem in a Multi-Billion-Dollar industry. A cash positive, revenue generating start-up with signed commitments. An opportunity to lead the build of a first-of-its kind AI platform utilising SOTA tools and techniques. We are looking for a Lead Machine Learning Engineer – GenAI to build a field-changing, cutting-edge AI platform. In an industry filled with complexity and inefficiency, there’s an opportunity to create an intelligence platform that doesn’t only eliminate waste, but ultimately impacts people in key aspects of everyday life. Our client is ahead of the curve and fully invested in taking their approach and vision to the next level.

What You’ll Be Doing:

1. Building a multi-model, cutting edge intelligence platform integrating text and image data with state-of-the-art generative models, alongside traditional techniques.
2. Designing a data and document ingestion strategy for multi-format data.
3. Selecting the most appropriate models and approaches, RAG techniques and tools.
4. Design and execute the technical roadmap and architecture to build a scalable platform.
5. Develop and fine-tune LLMs and design multi-step Agentic workflows.
6. Implement feedback loops for model performance evaluation.
7. Provide input on and oversee the development of Robust LLMOps & DevOps practices.
8. Lead and grow the ML team, mentoring and hiring engineers to scale the platform (80/20 split of hands-on work, weighted toward building).

What You’ll Need:

1. MSc or PhD in Machine Learning, AI, Computer Science or a related field (or equivalent experience).
2. Strong foundations in NLP with ideally a minimum of 5 years’ industry experience in AI, Machine Learning, Reinforcement Learning or similar field.
3. Experience building and scaling AI-first products, with technical leadership experience, ideally in a start-up environment.
4. Industry experience with LLMs (fine-tuning, optimising, performance evaluation) and Retrieval-Augmented Generation (RAG) techniques including document linking.
5. Experience with knowledge graphs and vector databases.
6. Strong experience with Python and modern AI development frameworks.
7. Expertise in MLOps/LLMOps/DevOps including deploying AI solutions at scale.
8. Knowledge of traditional databases and scalable architecture design.
9. Person - Whilst you’ll be working on cutting edge techniques, we are looking for people that build according to the need.
10. You’ll build with urgency but be pragmatic in your approach.