Senior ML/AI Engineer

What you'll do

• Build and deploy machine learning models for various use cases including prediction, classification, NLP, anomaly detection, and generative AI.
• Develop scalable features using Delta Lake, Spark, and Databricks Feature Store to support training and validation cycles.
• Own the end-to-end ML lifecycle, implementing CI/CD pipelines and automated model deployment to ensure performance and reliability.
• Design modular, scalable ML architectures that integrate with APIs, data warehouses, microservices, and downstream applications.
• Develop A/B tests and evaluation frameworks to analyze model results and communicate insights effectively to stakeholders.
• Stay updated on emerging ML frameworks, LLM advancements, Databricks capabilities, and scalable architecture patterns.

What we're looking for

• 7+ years of experience in machine learning or applied AI engineering roles.
• Expertise in building ML models using Python, Spark, Databricks, and MLflow.
• Deep knowledge of modern ML techniques including deep learning and LLM-based systems.
• Solid understanding of software engineering principles such as version control and CI/CD.
• Experience deploying ML models to production with reliable pipelines and monitoring.
• Strong ability to explain technical concepts to non-technical stakeholders.
• Proficiency in working with large-scale distributed datasets using SQL.