• Designing, building and scaling GenAI applications such as chatbots, assistants
• Leveraging RAG pipelines and integrating them with enterprise data
• Collaborating with product owners, data engineers, and domain experts
• Deploying and monitoring models in production environments to ensure reliability and scalability
• Contributing to our AI Champion Community by sharing best practices and supporting colleagues

Requirements

Few years of hands-on experience in data science or machine learning engineering
Foundation in applied statistics and analytics
Working with LLMs, RAG pipelines, embeddings, and vector databases
Comfortable designing experiments, validating results, and deploying models in cloud environments
Academic background in computer science, statistics, or a related field
Experience with enterprise data from sales, finance, R&D, or manufacturing
Proactive and curious in a dynamic environment
Collaborative team player valuing continuous learning and knowledge sharing

🔍 ATS Optimization Keywords
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Hard Skills

data science
machine learning engineering
applied statistics
analytics
LLMs
RAG pipelines
embeddings
vector databases
model deployment
cloud environments

Soft Skills

collaboration
proactive
curiosity
team player
continuous learning
knowledge sharing

AI Engineer

AI Engineer