Applied AI ML - Sr. Associate - Machine Learning Engineer
Description For Applied AI ML - Sr. Associate - Machine Learning Engineer
Join our team as an Applied AI/ML Senior Associate Machine Learning Engineer at JPMorgan's Corporate Investment Bank, where you'll be at the forefront of combining cutting-edge AI techniques with unique data assets to optimize business decisions and automate processes. This role offers a unique blend of scientific research and software engineering, focusing on advancing state-of-the-art AI in financial services through Natural Language Processing, Computer Vision, and statistical machine learning. You'll be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. The position offers significant career growth opportunities, allowing collaboration with top-tier professionals while contributing to a growing portfolio of AI-powered products and services. Working within the Corporate & Investment Bank, a global leader across investment banking, wholesale payments, markets and securities services, you'll be part of a team that serves the world's most important corporations and institutions across 100+ countries. The role combines technical expertise with business impact, requiring both deep technical knowledge and the ability to communicate effectively with stakeholders at all levels.
Responsibilities For Applied AI ML - Sr. 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 in design and delivery of production architectures
Requirements For Applied AI ML - Sr. 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
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