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Senior Software Engineering Lead

2 months ago

Glasgow, Glasgow City, United Kingdom JP Morgan Chase Bank, National Association Full time
Job Overview

As a Senior Software Engineering Lead at JPMorgan Chase within the ALML, Corporate Technology, you will play a pivotal role in guiding multiple technical teams to advance financial technologies. This position presents a significant opportunity to drive impactful solutions in a secure and scalable environment.

Key Responsibilities
  • Design and implement software solutions, focusing on innovative approaches to complex technical challenges.
  • Collaborate with product managers, data scientists, and machine learning engineers to gather and analyze requirements.
  • Create, develop, and deploy cutting-edge AI/ML/LLM/GenAI solutions aligned with business goals.
  • Establish and maintain automated deployment pipelines for models, ensuring they are scalable and efficient.
  • Apply optimization techniques to enhance generative models for specific natural language processing (NLP) tasks, ensuring superior output quality.
  • Conduct comprehensive evaluations of generative models (e.g., GPT-4), iterating on architectures to improve performance in NLP applications.
  • Implement monitoring systems to assess model performance in real-time, ensuring reliability.
  • Effectively communicate AI/ML/LLM/GenAI capabilities and outcomes to both technical and non-technical stakeholders.
  • Stay updated on the latest advancements in AI/ML/LLM/GenAI research, integrating innovative techniques and utilizing external APIs for enhanced functionality.
  • Contribute to a team culture that values diversity, equity, inclusion, and respect.
Required Qualifications and Skills
  • Formal education or certification in software engineering principles, with substantial applied experience.
  • Proven experience in AI/ML engineering, specifically in developing and deploying critical machine learning models in production settings.
  • Proficiency in programming languages such as Python for model development and integration with APIs.
  • Familiarity with machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of agile methodologies, including CI/CD, application resiliency, and security.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • In-depth knowledge of software applications and technical processes in relevant fields (e.g., cloud computing, AI, machine learning).
  • Solid grasp of statistics and machine learning fundamentals, including classification, regression, and generative model architectures.
  • Ability to identify and resolve AI/ML/LLM/GenAI challenges, optimizing models for peak performance in NLP.
  • Strong collaboration skills to effectively engage with cross-functional teams and convey complex concepts.
Preferred Qualifications
  • Familiarity with the financial services sector.
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on experience with prompting strategies such as Chain-of-Thoughts and Tree-of-Thoughts.
  • A portfolio demonstrating successful applications of generative models in NLP projects, particularly with OpenAI APIs.
About Us

J.P. Morgan is a leading global financial services firm, providing strategic advice and products to prominent corporations, governments, and institutional investors. Our commitment to excellence drives our client-focused approach. We believe that our diverse workforce is our greatest asset, and we are dedicated to fostering an inclusive environment where all employees can thrive.