Lead AI/ML Engineer - Python, NLP & GenAI

Aumni; Glasgow; Presencial; GBP 120 000 - 180 000; Tempo integral

Resumo da oferta

JPMorgan Chase is seeking a Lead AI/ML Engineer to join the Governance & Controls Technology AI/ML team. You will design and deliver trusted AI/ML solutions, mentor a team of ML and MLOps engineers, and build scalable deployment pipelines for enterprise use.

You will work with product managers, data scientists, and engineers to implement cutting-edge generative AI capabilities, optimizing models for NLP tasks such as summarization and text generation while ensuring reliability and security

Qualificações

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Demonstrated experience in applied AI/ML engineering with production ML models.

Responsabilidades

• Collaborate with product managers, data scientists, ML engineers, and stakeholders to understand requirements and prioritize use cases.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
• Mentor a team of ML and MLOps engineers.
• Develop and maintain automated pipelines for model deployment with scalability and reliability.
• Fine-tune generative models for NLP use cases with high-quality outputs.
• Evaluate generative models and iterate on architectures for NLP applications.
• Implement monitoring to track model performance in real-time.

Conhecimentos

Python

ML engineering

OpenAI API

TensorFlow/PyTorch

AWS/Azure/GCP

Docker/Kubernetes

GenAI/NLP

Model deployment

communication

Formação académica

Bachelor's or Master's in CS/Engineering

Ferramentas

OpenAI API

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Descrição da oferta de emprego

JPMorgan Chase is seeking a Lead AI/ML Engineer to join the Governance & Controls Technology AI/ML team. You will design and deliver trusted AI/ML solutions, mentor a team of ML and MLOps engineers, and build scalable deployment pipelines for enterprise use.

You will work with product managers, data scientists, and engineers to implement cutting-edge generative AI capabilities, optimizing models for NLP tasks such as summarization and text generation while ensuring reliability and security