Data Scientist – Generative AI Solutions

We are seeking a skilled Data Scientist with expertise in implementing Generative AI (GenAI) solutions. The ideal candidate will have experience with state-of-the-art frameworks such as LangChain, Flask API, and Retrieval-Augmented Generation (RAG) methods. This role involves designing, developing, and deploying GenAI solutions to address complex problems in various business areas. A strong background in machine learning, natural language processing, and software development, along with hands-on experience in GenAI technologies, is required.

Responsibilities

• Develop and Implement GenAI Solutions: Design and implement Generative AI models and systems using frameworks such as LangChain and RAG methods.
• API Development: Develop and maintain Flask APIs to integrate GenAI solutions with existing systems and applications.
• Data Management: Handle data preprocessing, cleaning, and augmentation to ensure high-quality input for AI models.
• Model Training and Optimization: Train and fine-tune AI models to achieve optimal performance and accuracy.
• Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate solutions.
• Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, data analysts, and subject matter experts, to ensure seamless integration and deployment of AI solutions.
• Documentation and Reporting: Document methodologies, processes, and results. Prepare reports and presentations for stakeholders.

Minimum Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.
• Experience: Minimum of 10 years in data science, machine learning, and AI, with at least 2 years of experience in Generative AI.
• Technical Skills: Proven experience with GenAI solutions using LangChain, RAG methods, and other relevant frameworks. Experience with Flask for API development. Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).
• Knowledge: Strong understanding of natural language processing and generative models. Experience with vector databases (e.g., Chroma) for document and vector management, and embedding models.
• Skills: Excellent problem-solving and analytical abilities. Strong communication and collaboration skills. Ability to work independently and in a team environment.

If of interest, please send your CV to stephen.hamilton@peglobal.co.uk