Senior Data Scientist

Responsibilities

• Research, design, and develop machine learning and artificial intelligence solutions, with a strong emphasis on generative AI applications.
• Build and iterate on proof-of-concept AI solutions, transitioning successful prototypes into production applications.
• Design and implement applications leveraging large language models for text analysis, summarization, information extraction, and workflow automation.
• Develop prompt engineering strategies and retrieval-augmented generation (RAG) systems to improve AI application performance.
• Experiment with fine-tuning, model customization, and evaluation techniques to optimize AI solutions for specific use cases.
• Build, deploy, and maintain AI/ML models and applications in cloud environments, collaborating or independently managing end-to-end deployment.

Requirements

• Proven experience as a full-stack Data Scientist with end-to-end ownership from research to deployment.
• Strong background in generative AI and machine learning solutions.
• Proficiency in developing applications leveraging large language models.
• Experience with prompt engineering and retrieval-augmented generation (RAG) systems.
• Ability to work across the full technology stack, including model building, visualization, application development, and deployment.
• Experience with cloud environments (AWS, Kubernetes) and internal analytics platforms.
• Proficiency with Python frameworks (Streamlit, Dash, Flask) and libraries (Plotly, Matplotlib, Seaborn).

What's On Offer

• Opportunity to contribute to strategy while performing hands-on technical work.
• Collaboration with agile teams on innovative AI/ML solutions.
• Involvement in cutting-edge generative AI applications.
• Exposure to various emerging AI technologies and frameworks.