Job Description
Advance your career as a Senior ML Engineer driving AI and Generative AI initiatives. Foster innovation by developing robust ML solutions that optimize business processes and enhance decision-making.
As an integral team member, you will oversee the complete ML lifecycle—from data ingestion to model deployment. Collaborate with engineers and stakeholders to construct reliable, scalable AI solutions. Your insights will help establish best practices for AI implementation in a challenging regulatory environment.
Key Responsibilities:
• Design and operationalize machine learning pipelines
• Collaborate with teams on data analysis and model operationalization
• Advise stakeholders on AI and cloud architectures
• Monitor and improve model performance
• Share knowledge through training and mentoring
Requirements:
• Master’s or PhD in Computer Engineering or related field
• 6+ years cloud architecture experience
As an integral team member, you will oversee the complete ML lifecycle—from data ingestion to model deployment. Collaborate with engineers and stakeholders to construct reliable, scalable AI solutions. Your insights will help establish best practices for AI implementation in a challenging regulatory environment.
Key Responsibilities:
• Design and operationalize machine learning pipelines
• Collaborate with teams on data analysis and model operationalization
• Advise stakeholders on AI and cloud architectures
• Monitor and improve model performance
• Share knowledge through training and mentoring
Requirements:
• Master’s or PhD in Computer Engineering or related field
• 6+ years cloud architecture experience