Description:

XA Group is a leader in revolutionizing the insurance technology and fintech industries through a digital ecosystem powered by artificial intelligence.
The company aims to deliver innovative solutions that enhance efficiency, improve customer experience, and drive growth for insurance providers and financial institutions.
The Data Scientist - NLP position requires expertise in NLP, Generative AI, and Language Models (LLMs), particularly in Retrieval-Augmented Generation (RAG).
The ideal candidate should be proficient in Python and experienced with FastAPI and Streamlit for building user-friendly applications and rapid prototyping.
Responsibilities include collaborating on AI model development, conducting evaluations to improve performance, and delivering Proofs of Concept (POCs).
The role involves working closely with cross-functional teams to integrate and deploy AI solutions while staying updated on emerging frameworks.
Strong communication skills and the ability to manage project delivery are essential.
Experience with agentic frameworks and basic machine learning concepts is a plus.

Requirements:

Candidates must be proficient in Python and have experience with FastAPI and Streamlit for rapid prototyping.
A strong foundation in NLP, Generative AI, Language Models (LLMs), and Retrieval-Augmented Generation (RAG) is required.
Applicants should be capable of building and evaluating AI and ML models and assessing model performance using established metrics.
Familiarity with agentic frameworks (e.g., LangGraph or alternatives) is preferred but not mandatory.
A sound knowledge of foundational machine learning and deep learning concepts is necessary.
Demonstrated ability to collaborate with DevOps and other stakeholders for smooth integration, testing, and deployment of AI applications is essential.
Candidates should have 2-5 years of experience in NLP and Generative AI.

The position offers the opportunity to work at the forefront of AI technology in the insurance and fintech sectors.
Employees will have the chance to collaborate with cross-functional teams and contribute to innovative projects.
The role provides a platform for professional growth and the ability to stay updated on emerging frameworks and methodologies.
Strong emphasis on communication and collaboration fosters a supportive work environment.
The position allows for remote work, providing flexibility in the work arrangement.