Senior Data Scientist – Generative Ai

PBT Group is seeking a Senior Data Scientist – Generative AI to lead the design, development, and deployment of advanced AI and machine learning solutions. This role requires a highly hands‑on technical specialist with deep expertise across Generative AI, Machine Learning, and Data Science , capable of building production‑grade models that drive measurable business value.

The successful candidate will play a key role in shaping AI capabilities, developing scalable model architectures, and collaborating with engineering and business teams to deliver impactful, real‑world AI solutions.
Key Responsibilities Design, build, and deploy Generative AI models for practical enterprise applications (text, image, video, multimodal) Develop, fine‑tune, and optimise large language models (LLMs) and transformer‑based architectures Apply advanced machine learning and statistical techniques to solve complex business problems Work with structured and unstructured datasets to engineer high‑quality AI solutions Partner with data engineers and software teams to integrate models into production environments Drive model performance, scalability, and cost optimisation initiatives
Contribute to AI strategy, experimentation, and innovation initiatives
Conduct research and remain current with emerging trends in Generative AI and ML Ensure adherence to data governance, security, and responsible AI practices Communicate findings, insights, and model outcomes to technical and business stakeholders Minimum Requirements Experience 5+ years’ experience in Data Science / Machine Learning / AI roles Proven track record delivering production‑grade ML or AI solutions Strong hands‑on development experience (not purely research or oversight) Core Technical Expertise

Strong practical experience with:
Generative AI & Deep Learning Large Language Models (LLMs)
Transformer architectures
GANs / VAEs / modern generative approaches
Prompt engineering and model optimisation
Programming & Frameworks Python (essential)
Py Torch and/or Tensor Flow
Experience working with modern AI / LLM APIs
Machine Learning & Data Science Model development and evaluation
Feature engineering and optimisation
Statistical modelling and experimentation
Data exploration and analytical problem solving
Data Engineering & Processing Strong SQL proficiency
Experience with Spark / large‑scale data processing
Handling complex, high‑volume datasets
Cloud & Infrastructure Experience deploying ML / AI workloads on AWS, Azure, or GCP Understanding of scalable cloud‑native architectures
MLOps & Deployment Model lifecycle management
Docker / containerisation concepts
CI/CD for ML pipelines
Exposure to Kubernetes advantageous Preferred Experience

Highly advantageous:
NLP, Computer Vision, or Multimodal AI experience
Reinforcement Learning (RL) or Self‑Supervised Learning (SSL) exposure
AI model optimisation and performance tuning
Model interpretability / explainability techniques
Experience working in regulated or data‑sensitive environments
Research publications or open‑source contributions Key Competencies Strong analytical and problem‑solving capability
Deep technical curiosity and innovation mindset
Ability to work hands‑on and independently Strong collaboration across technical and business teams
Clear communication of complex AI concepts
Pragmatic, solution‑driven approach to AI adoption Ideal Candidate Profile

This role is suited to a senior, technically strong Data Scientist who combines: Advanced Generative AI expertise Solid Machine Learning & statistical foundations Strong engineering & production mindset Ability to translate AI capabilities into business value

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