Senior Data Scientist

About The Company
nTech Workforce is a leading technology solutions provider dedicated to transforming industries through innovative digital solutions and advanced AI technologies. With a strong focus on healthcare, our company specializes in developing cutting-edge systems that enhance operational efficiency and improve patient outcomes. Our team comprises highly skilled professionals committed to delivering impactful solutions that meet the evolving needs of our clients. At nTech Workforce, we foster a collaborative and inclusive environment that encourages continuous learning and innovation, ensuring our clients stay ahead in the competitive landscape.
About The Role
We are seeking a highly skilled Senior Data Scientist to join our dynamic team. This role is pivotal in driving the development and deployment of advanced AI models, particularly in the realm of Generative AI and Large Language Models (LLMs). The successful candidate will work closely with cross-functional teams to design, optimize, and implement AI solutions that revolutionize healthcare claims processing and workflows. This position offers a unique opportunity to work on innovative projects that leverage state-of-the-art AI technologies within a mature data science environment. The Senior Data Scientist will be responsible for bridging the gap between research and production, ensuring that AI models are scalable, reliable, and seamlessly integrated into existing healthcare systems.
Qualifications
The ideal candidate will possess proven experience as a Data Scientist with a strong background in deploying AI/ML models in production environments. Expertise in Generative AI and LLMs is essential, along with hands-on experience with Retrieval-Augmented Generation (RAG) architectures. Candidates should demonstrate strong engineering skills, capable of optimizing code for production without extensive reliance on engineering support. Technical proficiency in the AWS ecosystem, including AWS Bedrock, Lambda, and Kendra, is required. Additionally, experience managing vector databases and Python programming skills are critical for success in this role. A solid understanding of healthcare claims processing or related domains is advantageous, though not mandatory.
Responsibilities

• Develop and enhance AI and Machine Learning models, with a focus on Generative AI workflows and LLMs.
• Design and implement Retrieval-Augmented Generation (RAG) architectures, integrating LLMs with vector databases to improve data retrieval and response accuracy.
• Optimize AI models and codebases for production deployment, ensuring solutions are robust, scalable, and maintainable.
• Configure and manage AWS resources such as Bedrock, Lambda, and Kendra to facilitate seamless model deployment and management.
• Handle technical nuances associated with LLM implementation, including tokenization, vector creation, and model fine-tuning.
• Collaborate with solution architects and cross-disciplinary teams to design comprehensive AI solutions tailored to healthcare claims environments.
• Participate in code reviews, testing, and documentation to uphold high standards of quality and reliability.
• Stay updated with the latest advancements in AI and incorporate best practices into development workflows.

Benefits
nTech Workforce offers a competitive benefits package designed to support our employees' well-being and professional growth. These include comprehensive health insurance plans, retirement savings options, and paid time off. We also provide opportunities for continuous learning through training programs, certifications, and industry conferences. Our flexible work arrangements support work-life balance, and we foster a collaborative environment that encourages innovation and career development. Additionally, employees have access to resources and support for remote work, ensuring they can perform at their best regardless of location.
Equal Opportunity
nTech Workforce is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other protected status. We believe that diverse perspectives and experiences drive innovation and excellence, and we are dedicated to providing equal employment opportunities to all qualified candidates.