Design, develop, and deploy GenAI/LLM solutions in live environments
Collaborate with engineers, mechanics, and stakeholders to understand real problems
Perform exploratory data analysis to assess data quality and identify improvements
Engineer features by combining traditional data warehouses with data lakes and new sources
Run experiments and track model metrics and metadata using model registries
Bring models to production with data engineers and platform teams, following enterprise standards

🎯 Requirements

Strong Data Scientist / ML Engineer with production-grade solutions
Hands-on GenAI and Large Language Models experience
Strong software engineering, production-level Python
Deep MLOps knowledge: deployment, monitoring, logging, retraining
Experience with large-scale/big data environments
Fluent English proficiency

🎁 Benefits

15–20% of your time on learning and research to explore new technologies and projects

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