Hybrid Senior Data Scientist – Gen AI

at Accelya Group

• Job title: Senior Data Scientist – Gen AI
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Colombia

About the role

• Senior Data Scientist developing LLM-powered solutions for the airline industry. Collaborating on projects that enhance customer experience and drive operational impact using advanced data science techniques.

Responsibilities

• Design and implement LLM-powered solutions for enterprise-scale use cases requiring structured outputs and domain adaptation.
• Develop and maintain AI agents capable of handling domain-specific knowledge and workflows in production.
• Apply prompt engineering, retrieval-augmented generation (RAG), and other techniques to embed company expertise into LLM pipelines.
• Contribute to LLM continuous pretraining and fine-tuning efforts to adapt models to specialized tasks.
• Integrate LLM-based agents into production environments with a focus on scalability, latency, reliability, and compliance.
• Conduct experiments to evaluate model quality, effectiveness, and business impact.
• Establish monitoring, guardrails, and evaluation frameworks for safe and effective GenAI usage.
• Stay current with research and developments in LLMs, agent architectures, orchestration frameworks, and generative AI platforms.
• Use predictive modeling to enhance customer experience, revenue generation, dynamic pricing, and demand forecasting.
• Communicate complex findings and insights to both technical and non-technical audiences.
• Collaborate with different functional teams to integrate models into business operations.

Requirements

• Strong understanding of LLMs, GenAI, and AI agent architectures.
• Solid understanding of fine-tuning and continuous pretraining approaches (experience is a strong plus).
• Proven expertise in prompt engineering and methods for grounding LLMs with domain-specific data.
• Demonstrated experience in deploying AI agents into production, including integration with APIs, databases, and business systems.
• Expertise in machine learning algorithms such as regression, classification, clustering (GLM, Random Forest, Gradient Boosting, deep learning, etc.).
• Solid understanding of statistical techniques (regression, distributions, hypothesis testing).
• Proficiency in Python and familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow).
• Strong problem-solving skills and ability to translate business requirements into GenAI or traditional ML solutions.
• Excellent communication skills for cross-functional collaboration and for explaining technical concepts to non-technical audiences.
• Fluent English: Interviews will be held in this language.

Benefits

• Work at the intersection of data science and aviation
• Opportunity to work with large, complex datasets
• Apply state-of-the-art machine learning techniques
• Collaborate with a highly skilled team of data scientists, engineers, and business leaders