Principal Applied Scientist

**About the project**: **Duration: 4** weeks **Stage**: Assessment and Proof of Concept **Areas of Responsibility**: - Conduct a comprehensive analysis of current business challenges and opportunities for AI integration - Lead the identification and prioritization of GenAI use cases specific to client - Perform detailed risk assessments and ROI calculations for proposed AI solutions - Oversee data collection, preprocessing, and model development for the PoC - Collaborate with the AI Delivery Manager to ensure project milestones are met - Develop a detailed MVP roadmap and project proposal for full-scale implementation - Communicate complex technical concepts to non-technical stakeholders - Guide the team in implementing best practices for AI development and deployment **Skills**: - Hands-on machine learning and engineering experience with: - Generative AI tools and platforms (GPT, StableDiffusion, etc) - Managed solutions (AWS SageMaker, Amazon Bedrock) - Custom implementation of GenAI algorithms - Experience with large language model fine-tuning and prompt engineering - Strong technical documentation development skills - Expertise in developing scalable, production-ready AI solutions **Knowledge**: - Expertise in one or more of the following areas: - Natural Language Processing (NLP) - Retrieval Augmented Generation (RAG) - Information Retrieval and Semantic Search - Strong understanding of machine learning fundamentals and deep learning architectures - Familiarity with ethical AI practices and responsible AI development **Experience**: - Machine learning and GenAI solution delivery (>5 years) - Experience working with large language models and generative AI technologies (>2 years) - Independent contractor experience (>2 projects >10k) - Bachelor's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or related fields (>4 years) **Terms & conditions**: Allocation: 0.5 FTE Start date: October