The role focuses on building and optimizing AI solutions by integrating data from multiple systems and collaborating with architects and analysts to deliver high-quality dataset.
Role description:
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.
Qualifications:
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.
Proficiency in Python and experience with data science libraries.
Experience with prompt engineering and fine-tuning large language models.
Experience in LangGraph and LangChain.
Familiarity with SQL.
Experience with Model Context Protocol (MCP) standard.
Experience with Text-to-SQL (NL2SQL).
English B2 Upper Intermediate
