Description

You will design, build, and productionize Gen AI applications and machine learning pipelines.

This role is on-site.

Responsibilities

• Develop production-grade Python code for modular, tested, and performance-tuned Gen AI solutions including RAG, prompt engineering, and LLMs as judges.
• Build and deploy ML/AI pipelines, handling orchestration, monitoring, and optimization in production environments.
• Apply statistical and machine learning techniques to solve complex problems, using feature engineering to improve model representation.
• Communicate technical findings and solutions effectively to stakeholders across the organization.

Required Skills

• 5+ years of experience in a quantitative discipline such as Data Science, Computer Science, or Applied Mathematics.
• Production-level Python proficiency with experience in modularization, testing, and performance tuning.
• Hands-on experience building Gen AI applications, including prompt engineering, classifiers, knowledge bases, and RAG architectures.
• Experience with Azure ML and Databricks for model development and deployment.
• Proficiency in SQL and working with data at scale.
• Familiarity with ML lifecycle tools such as MLflow, CI/CD, and model monitoring.
• Master’s or PhD degree in a quantitative field.

Preferred Skills

• Domain knowledge in the airline industry.
• Experience with Microsoft Dynamics.
• Consulting background with strong problem-solving and logical analysis skills.

Key Skills

Education

Bachelor's degree