AA2IT
Data Scientist - Generative AI Applications
AA2IT, Durham, North Carolina, United States, 27703
Job Title
: Data Scientist - Generative AI Applications Pay Rate: $52.00/HR Location: 2 T.W.Alexander Drive, Durham NC
We are seeking an experienced Data Scientist to join our team, focusing on the development and deployment of Generative AI (GenAI) solutions in a commercial business setting. This role involves working with advanced technologies, including vector databases, Retrieval-Augmented Generation (RAG) approaches, and building end-to-end AI pipelines to deliver actionable insights and solutions to business challenges.
Job Description
:
Responsibilities
: Model Development: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation aimed at solving complex business problems and enhancing the decision-making process. Vector Database Management: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs). NLP Techniques: Implement and experiment with cutting-edge NLP and similar techniques to enhance the capabilities and performance of our AI products. Collaborate with cross-functional teams, including business units and platform/software engineers, to identify opportunities for integrating Generative AI models into production systems, ensuring scalability, reliability, and performance. Stay up-to-date with the latest advancements in Generative AI and data science technologies. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Qualifications
:
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Proven experience in developing and deploying Generative AI models in business settings. Strong programming skills in Python, R, or similar languages. Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy. Solid understanding of statistical analysis and data visualization techniques. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications
:
Experience with natural language processing (NLP) and computer vision applications. Familiarity with cloud platforms such as Azure. Experience in project management and leading data science initiatives.
Kindly share your resume with answers: Q1: Which year you completed Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Q2 : How many years Proven experience in developing and deploying Generative AI models in business settings. Q3: How many years of exp in Python, R, or similar languages. Q4: How many years of Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy. Q5: How far you live from 2 T.W.Alexander Drive, Durham NC and how will you commute
: Data Scientist - Generative AI Applications Pay Rate: $52.00/HR Location: 2 T.W.Alexander Drive, Durham NC
We are seeking an experienced Data Scientist to join our team, focusing on the development and deployment of Generative AI (GenAI) solutions in a commercial business setting. This role involves working with advanced technologies, including vector databases, Retrieval-Augmented Generation (RAG) approaches, and building end-to-end AI pipelines to deliver actionable insights and solutions to business challenges.
Job Description
:
Responsibilities
: Model Development: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation aimed at solving complex business problems and enhancing the decision-making process. Vector Database Management: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs). NLP Techniques: Implement and experiment with cutting-edge NLP and similar techniques to enhance the capabilities and performance of our AI products. Collaborate with cross-functional teams, including business units and platform/software engineers, to identify opportunities for integrating Generative AI models into production systems, ensuring scalability, reliability, and performance. Stay up-to-date with the latest advancements in Generative AI and data science technologies. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Qualifications
:
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Proven experience in developing and deploying Generative AI models in business settings. Strong programming skills in Python, R, or similar languages. Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy. Solid understanding of statistical analysis and data visualization techniques. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications
:
Experience with natural language processing (NLP) and computer vision applications. Familiarity with cloud platforms such as Azure. Experience in project management and leading data science initiatives.
Kindly share your resume with answers: Q1: Which year you completed Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Q2 : How many years Proven experience in developing and deploying Generative AI models in business settings. Q3: How many years of exp in Python, R, or similar languages. Q4: How many years of Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy. Q5: How far you live from 2 T.W.Alexander Drive, Durham NC and how will you commute