AI / ML Engineer

Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

Requirements:

• Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimisations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i. e., pandas, scikit-learn, PyTorch, etc.
• Experience in building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline like computer science or equivalent practical experience.
• Passion for collaboration, lifelong learning, and driving business value through AI.
• [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
• We require fluency in English and willingness to work across time zones.