Senior AI Engineer (Python)
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
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