Applied AI ML - Senior Associate - Machine Learning Engineer
Description For Applied AI ML - Senior Associate - Machine Learning Engineer
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with unique data assets to optimize business decisions and automate processes.
You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions.
The role offers a unique blend of scientific research and software engineering, requiring deep understanding of both mindsets. You'll work with a growing portfolio of AI-powered products and services, with opportunities to leverage foundational components across the team through careful design of libraries and services.
Key responsibilities include building scalable data science capabilities, collaborating with engineering teams on ML services deployment, analyzing data sets using advanced techniques, and communicating results effectively to diverse audiences. You'll work closely with cloud and SRE teams while taking a leading role in production architecture design.
The ideal candidate will have a PhD in a quantitative field, hands-on ML engineering experience, and expertise in either NLP or Computer Vision. Strong technical skills in PyTorch, distributed computing, and MLOps are essential, along with excellent communication abilities.
Join JPMorgan Chase & Co., a global leader in financial services, where you'll work on cutting-edge AI applications while collaborating with talented teams in a supportive environment that values diversity and inclusion.
Responsibilities For Applied AI ML - Senior Associate - Machine Learning Engineer
- Build robust Data Science capabilities which can be scaled across multiple business use cases
- Collaborate with software engineering team to design and deploy Machine Learning services
- Research and analyse data sets using statistical and machine learning techniques
- Communicate AI capabilities and results to both technical and non-technical audiences
- Document approaches taken, techniques used and processes followed
- Collaborate with cloud and SRE teams on production architectures
- Act as an individual contributor with optional management responsibility
Requirements For Applied AI ML - Senior Associate - Machine Learning Engineer
- PhD in a quantitative discipline (Computer Science, Mathematics, Statistics)
- Hands on experience in an ML engineering role
- Track record of developing, deploying business critical machine learning models
- Broad knowledge of MLOps tooling
- Experience monitoring and maintaining existing models
- Specialism in NLP or Computer Vision
- Solid understanding of statistics, optimization and ML theory
- Extensive experience with pytorch, numpy, pandas
- Knowledge of open source datasets and benchmarks
- Experience in implementing distributed/scalable applications
- Strong communication skills
Benefits For Applied AI ML - Senior Associate - Machine Learning Engineer
- Comprehensive medical, dental, and vision insurance
- Equal opportunity employer
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