Machine Learning Software Engineer-Senior Associate

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.

As a Machine Learning Software Engineer within JPMorgan, you will be a vital member of an agile team, tasked with designing and delivering secure, stable, and scalable market-leading technology products. Your role involves implementing critical technology solutions across a variety of technical areas within different business functions, all in support of the firm’s business objectives.

Job Responsibilities :

• Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
• Design, develop, and deploy state-of-the-art AI / ML / LLM / GenAI solutions to meet business objectives.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
• Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI / ML / LLM / GenAI capabilities and results to both technical and non-technical audiences.

Required Qualifications, Capabilities, and Skills :

Preferred Qualifications, Capabilities, and Skills :

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