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Job summary
A leading global financial services firm is seeking an Applied AI / ML Senior Associate Machine Learning Engineer to innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal for those looking to impact financial technology.
Qualifications
Understanding of statistics, optimization and ML theory.
Ability to communicate with technical and non-technical audiences.
Responsibilities
Build Data Science capabilities across business use cases.
Collaborate to design and deploy Machine Learning services.
Research and analyze datasets with ML techniques.
Communicate AI capabilities to stakeholders.
Skills
Pytorch
NLP
Deep Learning
MLOps
Docker
Statistical Analysis
Education
Masters or PhD in a quantitative discipline
Tools
AWS
Azure
Kubernetes
Job description
A leading global financial services firm is seeking an Applied AI / ML Senior Associate Machine Learning Engineer to innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering, ideal for those looking to impact financial technology.