Data Scientist AI/ML

Brookfield - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Scientist AI/ML
Location: Brookfield WI
Domain: IT Consulting
Long Term Contract
Looking for W2 Candidates. No C2C

Responsibilities:

Lead the development and optimization of Generative AI (Gen AI) models including LLM fine-tuning Retrieval-Augmented Generation (RAG) and AI-driven quantitative research.
Research and implement AI-related strategies leveraging LLMs NLP and alternative data sources to drive investment decisions.
Develop and integrate machine learning-based market models optimizing business growth and profitability.
Collaborate with engineering and investment teams to deploy production-ready AI solutions for financial applications.
Optimize AI models for efficiency leveraging advanced techniques such as quantization low-rank adaptation (LoRA) and knowledge distillation.
Stay at the forefront of Gen AI innovations to enhance financial insights and drive automation in portfolio management.

Qualifications:

PhD or masters degree in computer science Machine Learning Engineering Applied Mathematics or comparable quantitative disciplines.
Experience in developing LLM NLP NLU NLG deep learning models and transformer models with a focus on developing conversational AI solutions.
Experience in retrieval-augmented generation (RAG) vector embeddings and knowledge graphs.
Hands-on experience with machine learning development and AI explainability methods i.e. reinforcement learning transfer learning counterfactual analysis model drift detection adversarial testing etc.
Preferably Experience with model optimization techniques (e.g. distillation quantization model pruning).
Preferably strong knowledge of Gen AI application in financial industry but not required.
Proficiency in Python PyTorch TensorFlow Hugging Face Transformers and distributed computing frameworks.
Hands-on experience integrating alternative data sources including news analytics satellite data and financial reports into AI-driven trading models.
Excellent documentation communication and presentation skills can influence without authority
Team-orient mindset and can-do attitude

Best Regards:

Tanuja
Phone: 1-
Email:

Job Title: Data Scientist AI/ML Location: Brookfield WI Domain: IT Consulting Long Term Contract Looking for W2 Candidates. No C2C Responsibilities: Lead the development and optimization of Generative AI (Gen AI) models including LLM fine-tuning Retrieval-Augmented Generation (RAG) and AI-drive...

Job Title: Data Scientist AI/ML
Location: Brookfield WI
Domain: IT Consulting
Long Term Contract
Looking for W2 Candidates. No C2C

Responsibilities:

Lead the development and optimization of Generative AI (Gen AI) models including LLM fine-tuning Retrieval-Augmented Generation (RAG) and AI-driven quantitative research.
Research and implement AI-related strategies leveraging LLMs NLP and alternative data sources to drive investment decisions.
Develop and integrate machine learning-based market models optimizing business growth and profitability.
Collaborate with engineering and investment teams to deploy production-ready AI solutions for financial applications.
Optimize AI models for efficiency leveraging advanced techniques such as quantization low-rank adaptation (LoRA) and knowledge distillation.
Stay at the forefront of Gen AI innovations to enhance financial insights and drive automation in portfolio management.

Qualifications:

PhD or masters degree in computer science Machine Learning Engineering Applied Mathematics or comparable quantitative disciplines.
Experience in developing LLM NLP NLU NLG deep learning models and transformer models with a focus on developing conversational AI solutions.
Experience in retrieval-augmented generation (RAG) vector embeddings and knowledge graphs.
Hands-on experience with machine learning development and AI explainability methods i.e. reinforcement learning transfer learning counterfactual analysis model drift detection adversarial testing etc.
Preferably Experience with model optimization techniques (e.g. distillation quantization model pruning).
Preferably strong knowledge of Gen AI application in financial industry but not required.
Proficiency in Python PyTorch TensorFlow Hugging Face Transformers and distributed computing frameworks.
Hands-on experience integrating alternative data sources including news analytics satellite data and financial reports into AI-driven trading models.
Excellent documentation communication and presentation skills can influence without authority
Team-orient mindset and can-do attitude