Engineer

About

Innovate in AI and ML as a skilled Engineer. Support model lifecycles, deploy production-grade systems, and leverage analytics for actionable insights in a hybrid work setting.

This role focuses on designing, deploying, and operating AI systems within a dynamic data analytics team. You will implement machine learning solutions, support model optimization, and establish MLOps workflows. Collaborating with cross-functional teams, you’ll ensure reliable, fair, and performant systems at scale.

Responsibilities

• Implement and productionize ML solutions
• Support model selection and validation
• Establish MLOps workflows for continuous delivery
• Implement robust model monitoring and alerting
• Design high-quality data pipelines across sources

Requirements

• Bachelor’s degree in computer science or related field
• 3+ years of AI/ML model deployment experience
• Proficient in Python and data preprocessing
• Expertise in Deep Learning and MLOps
• Experience with Azure for AI workloads

Leverage your skills in AI and ML to transform data into impactful decisions effectively.