Aiml Engineer Iii – Treasury And Lending Platforms
Worldpay (FIS)
Jacksonville, FL, US
Azure openai, vectordbs, rag, rlhf
Cloud-native infrastructure (aws, azure, gcp)
Mlops pipelines on azure
Leverage a broad stack of Open Source and SaaS AI technologies such as Azure OpenAI, VectorDBs, RAG, RLHF, and more to build scalable AI solutions for financial workflows
Job Summary
Leverage a broad stack of Open Source and SaaS AI technologies such as Azure OpenAI, VectorDBs, RAG, RLHF, and more to build scalable AI solutions for financial workflows.
Design, implement, and maintain cloud-native infrastructure using AWS, Azure, or GCP, with a focus on container orchestration and infrastructure-as-code.
Conduct original research on emerging AI techniques such as meta-learning and federated learning, while evaluating and comparing commercial and open-source LLMs.
Matching Summary
Leverage a broad stack of Open Source and SaaS AI technologies such as Azure OpenAI, VectorDBs, RAG, RLHF, and more to build scalable AI solutions for financial workflows.
Skills & Requirements
Must-have
Azure OpenAI, VectorDBs, RAG, RLHF
cloud-native infrastructure (AWS, Azure, GCP)
MLOps pipelines on Azure
meta-learning and federated learning
model quantization, pruning, mixed-precision training
Machine learning and statistical algorithms
Python, PyTorch, TensorFlow/Keras DL stacks
Nice-to-have
financial risk forecasting
anomaly detection
model interpretability and compliance
code reviews and mentoring
automated testing and linting
Key Requirements
Bachelor's degree or foreign equivalent in Statistics, Mathematics, Computer Science or related field and six (6) years of experience
Master's degree and four (4) years of experience
Machine Learning (ML) engineering, analytics, or data engineering experience
AI/ML techniques in financial services or regulated industries