Data Scientist AI/ML
Data Scientist AI/ML
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1 Vacancy
Job Description
Job Title: Data Scientist AI/ML
Location: St. Louis MO
Domain: Healthcare
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.
- Years of experience in developing LLM NLP NLU NLG deep learning models and transformer models with a focus on developing conversational AI solutions.
- Years of 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:
Tina
Phone: 1-
Email:
Employment Type
Full-time
