AI/ML Solutions Architect

7 days ago


Stevenage, Hertfordshire, United Kingdom Capgemini Engineering Full time

Capgemini Engineering is a world leader in engineering services, bringing together a global team of engineers, scientists, and architects to help innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box to provide unique R&D and engineering services across all industries.

We are seeking a highly motivated and experienced Senior AI/ML Developer and Data Scientist to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end-to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation.

Key Responsibilities:

  • Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
  • Perform feature engineering and selection to optimize model performance.
  • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
  • Train, evaluate, and optimize models using machine learning and statistical techniques.
  • Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
  • Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
  • Deploy models to production environments, ensuring robustness and scalability.
  • Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
  • Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
  • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
  • Stay updated on the latest advancements in AI/ML and data science technologies.
  • Lead and mentor junior team members.
  • Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.


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