Applied AI ML - Senior Associate - Machine Learning Engineer
Description For Applied AI ML - Senior Associate - Machine Learning Engineer
As a Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Corporate Investment Bank, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimize business decisions and automate processes. This role offers a unique blend of scientific research and software engineering, allowing you to advance AI in financial services and build impactful products.
You will leverage the latest research in Natural Language Processing, Computer Vision, and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. Working with state-of-the-art technologies and unique financial datasets, you'll have the opportunity to solve complex problems that directly impact global financial markets.
The role combines deep technical expertise with practical business application, requiring both strong theoretical understanding and hands-on implementation skills. You'll be working in a collaborative environment, partnering with software engineers, data scientists, and business stakeholders to deliver scalable AI solutions.
Key aspects of the role include:
- Developing and deploying production-grade machine learning models
- Working with cutting-edge AI technologies and frameworks
- Collaborating with cross-functional teams to deliver end-to-end solutions
- Contributing to the bank's AI innovation initiatives
- Ensuring compliance with financial industry regulations
This position offers excellent growth opportunities within a leading global financial institution, allowing you to work on challenging problems while advancing your career in AI and machine learning. You'll be part of a team that values innovation, technical excellence, and impactful solutions.
The ideal candidate will bring both technical depth and practical experience, with the ability to translate complex AI concepts into business value. This role represents an opportunity to shape the future of AI applications in finance while working with a talented team of professionals.
Responsibilities For Applied AI ML - Senior Associate - Machine Learning Engineer
- Build robust Data Science capabilities scalable across multiple business use cases
- Collaborate with software engineering teams to design and deploy Machine Learning services
- Research and analyze data sets using statistical and machine learning techniques
- Communicate AI capabilities and results to both technical and non-technical audiences
- Document approaches, techniques, and processes to comply with industry regulations
- Collaborate with cloud and SRE teams in designing and delivering production architectures
Requirements For Applied AI ML - Senior Associate - Machine Learning Engineer
- PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics
- Hands-on experience in an ML engineering role
- Track record of developing and deploying business-critical machine learning models
- Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
- Experience monitoring and maintaining models over time
- Specialism in NLP or Computer Vision
- Solid understanding of statistics, optimization, and ML theory
- Extensive experience with PyTorch, NumPy, and Pandas
- Familiarity with deep learning architectures
- Excellent grasp of computer science fundamentals and development best practices
