Clifford Chance
Legal
AIEngineer(Managerlevel)
“AI Engineer (Manager level) at Clifford Chance. Skills: Natural Language Processing, Generative AI, Machine Learning, Azure OpenAI. Monitor NLU model performance. Improve NLU model performance”
Industry & Context.
Problem solving; Troubleshooting
What They're Looking For.
Must Have
6-7 years total experience, 3+ years in all technologies listed, BSc or greater in Data Science, Computer Science, Math or Statistics, Advanced Python proficiency, Theoretical understanding of LLM driven applications, Experience with deep learning, Experience with Natural Language Processing (NLP), Hands-on experience with Azure OpenAI language models, Software engineering skills, Experience with load testing generative AI applications, Solid understanding of Machine Learning, Hands-on experience with data exploration, Hands-on experience building machine learning models, Document code, Document detailed designs, Excellent problem solving skills, Excellent troubleshooting skills, Experience in working with Databricks, Experience in working with Spark, Highly developed written communication skills, Capable of producing global and sensitive communications
Nice to Have
Azure AI Ecosystem experience, Vector search experience, Cognitive search experience, Azure queues experience, Multithreading experience, Document processing experience, Packaging experience, High code quality, Debugging experience, Azure CI/CD experience
What You'll Do.
Monitor NLU model performance
Improve NLU model performance
Collaborate with legal technology advisors
Collaborate with business departments
Collaborate with innovation lab
Collaborate with finance team
Work in the data science lab
Develop generative AI solutions
Develop applications for internal organization
Deliver applications for service-based use
Collaborate with IT teams
Collaborate with product development teams
Collaborate with Data & Analytics AI team members
Design application architecture
Implement application architecture
Design cloud-based applications
Realize designs as cloud applications
Develop on-premises applications
Develop cloud-based applications
Align applications to security architecture
Align applications to enterprise architecture
Align applications to application architecture
Align applications to government policies
Create architectural designs
Document architectural designs
Explain architectural design concepts
Recommend software development methodologies
Recommend design patterns
Recommend approaches to improve product delivery
Apply Agile software development
Apply DevOps practices
Ensure application delivery
Maintain application maintainability
Maintain application scalability
Identify emerging technologies
Contribute to data science use cases
How You'll Work.
Team & Collaboration
Global team; IT teams; Product development teams; Data & Analytics AI team; Cross-functional teams
Communication Scope
Written communication; Global communications; Sensitive communications; Varied audience communication
Process & Methodology
Agile software development, DevOps
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