AI Engineer

About the job

The daily work primarily focuses on Natural Language processing (NLP). • This role will lead a range of data analytics efforts, including monitoring and improving the performance of our Natural Language Understanding (NLU) models • Collaborate with legal technology advisors, business departments, innovation lab, finance team and work in the data science lab • Further develop Clifford Chance's generative AI solutions Your experience Skills & Experience • 6-7 years total (at least 3 years in all technologies listed below) • Azure AI Ecosystem: AI Services, GPT models, vector search, Cognitive search, Document Intelligence, Azure queues • Advanced Python proficiency (including multithreading, document processing, packaging) • Theoretical understanding of LLM driven applications • Experience with deep learning and Natural Language Processing (NLP) • Hands-on experience with using and configuring Azure OpenAI language models • Strong software engineering skills (high code quality, debugging, Azure CI/CD) • Experience with load testing of generative AI applications • Solid understanding of Machine Learning • Hands-on experience with data exploration and building machine learning models • Document code and document detailed designs • Excellent problem solving and troubleshooting skills • Experience in working with Databricks and Spark.

Requirements

• Natural Language Processing
• Azure AI Ecosystem
• Python proficiency
• Deep learning
• Machine Learning

Qualifications

• 6-7 years experience

Preferred Technologies

• Natural Language Processing
• Azure AI Ecosystem
• Python proficiency
• Deep learning
• Machine Learning

About the company

We are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm's global standards with in-depth local expertise.