Data Scientist III
Denver, CO, United States
About TSR:
TSR is a relationship-based, customer-focused IT and technical services staffing company.
For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.
Mission & Vision
We do not believe in building a vision around the company but building a company around our vision, which is simply;
Every employee's voice matters, their effort is appreciated, and their talent is rewarded.
We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.
Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.
Data Scientist III
Job Description
Location: Denver, Colorado
Type: Contract
Job #79677
Our client, a leading financial company, is hiring a Data Scientist III on a contract basis.
Job ID #: 79677
Work Location : Denver, CO/Hybrid
Summary:
Hybrid Role, will need to be located near Denver CO , expected to come into the office twice a week.
Please note this role is contract to hire, so candidates should be eligible to convert.
Generative AI Engineer
Responsibilities:
• Integration and Collaboration: Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Document and present complex findings and learnings in a clear and concise manner to a non-technical audience.
• Research and Innovation: Stay up-to-date on the latest advancements in generative AI technologies and methodologies such as Retrieval Augmented Generation (RAG), Vector Databases, frameworks such as langchain, etc.
• Algorithm Development: Design and develop algorithms for generative models using deep learning techniques, Natural Language Processing (NLP), Retrieval Augmented Generation (RAG) etc.
• Model Architecture Design: Create and fine-tune generative neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models.
• Data Management: Clean, label, and augment data for training and improving AI models.
• AI Alignment and Testing: Perform rigorous testing and validation of generative AI models to ensure their robustness and reliability. Address ethical considerations related to generative AI, such as bias, fairness, and transparency.
Pay Range: $73-75