PROJECT DESCRIPTION

Description:
We are seeking an experienced Data Scientist to join our team as a contractor. The successful candidate will work on developing a state-of-the-art NLP assistant for a large financial software platform. This role will involve leveraging cutting-edge Generative AI technologies to create innovative solutions for data extraction, API integration, automated report generation, and more. The ideal candidate will have a strong background in data science, machine learning engineering, and prompt engineering.

SKILLS

Must have
Education: Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field, with a strong emphasis on AI and machine learning.
Experience: Proven experience in data science, machine learning engineering, and NLP. Experience with financial software is a plus.
Technical Skills:
Proficiency in Python and experience with data science libraries.
Experience with prompt engineering and fine-tuning large language models.
Familiarity with SQL.
Knowledge of API development and integration.
Experience on delivering applications in Python in Kubernetes context
Soft Skills: Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.
Communication: Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Nice to have
An experience or knowledge in the financial industry would be a plus.it has all we need,

Implement NLP Solutions: Utilize NLP models to develop features for a financial software platform using Python.
Prompt Engineering: Create, refine, and optimize prompts for generative AI models to achieve desired outputs for various financial use cases.
Data Extraction: Build systems to extract relevant data from databases using NLP techniques and integrate this data into workflows.
API Integration: Develop and maintain integrations with various APIs to enhance the capabilities of the NLP assistant.
Automated Report Generation: Utilize generative AI to automate the creation of detailed and accurate financial reports.
Collaboration and Communication: Work closely with software engineers, business analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
Continuous Improvement: Stay up to date with the latest advancements in NLP and generative AI to continuously improve the assistant’s capabilities.