Machine Learning Engineer

📋 Description

• Design, build, deploy ML and generative AI solutions at scale.
• Collaborate with data scientists and engineers to productize analytics.
• Develop production-ready code in a cloud-native AWS environment.
• Prototype new AI capabilities and document results for stakeholders.
• Support global product launches and client implementations.
• Deliver insights from structured and unstructured data sources.

🎯 Requirements

• 4+ years in AI, data science, or predictive modeling.
• Advanced degree in ML/Data Science/CS or related field.
• Python coding; distributed computing with AWS; PySpark.
• Experience with Generative AI tools and rapid prototyping.
• Knowledge of model governance and LLM advances.

🎁 Benefits

• Career development and learning resources.
• Competitive benefits including health, insurance, and flexible hours.
• Hybrid work arrangement with home office options.
• Employee assistance and work-life balance programs.