AI Engineer building and maintaining cloud infrastructure to support AI ML workloads at WEX. Collaborating with stakeholders to develop innovative AI platforms and solutions.
Responsibilities
Collaborate with partners and stakeholders to understand requirements of AI development teams and key challenges
Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads
Design, test, code, and instrument AI/ML platforms/tools
Develop, evaluate, deploy, and monitor AI/ML models
Implement Infrastructure as Code (IaC) using tools like Terraform
Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement
Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes)
Develop and maintain CI/CD pipelines for automating deployment and management of AI infrastructure
Develop and maintain monitoring and alerting systems
Analyze system performance data to identify bottlenecks and opportunities for improvement
Measure, inspect, and drive decisions using data
Mentor and learn from peers, foster continuous learning of new cloud technologies and best practices
Independently complete work and proactively seek reviews from Senior Engineers and Leaders on your work
Requirements
2+ years of experience as an AI/ML Engineer or Data Scientist with strong software development skills
Bachelor's degree in Computer Science, Software Engineering, or related field
A Master's or PhD degree in Computer Science, Machine Learning, or a related field is a plus
Experience with software development and the SDLC
Proven track record of delivering end-to-end solutions using diverse technologies
Proficiency with at least one of the following 3GL strongly-typed languages as your core programming language: Java, C/C++/C#, Golang, or Python
Strong understanding of cloud platforms (AWS and Azure)
Hands-on experience with containerization (Docker) and container orchestration (Kubernetes)
Experience with building and managing CI/CD pipelines
Strong understanding of networking concepts
Experience with infrastructure monitoring and alerting tools
Strong scripting skills (Python, Bash)
Excellent problem-solving skills
Experience with using ML algorithms and platforms
Experience with using Large Language Models for generative AI projects
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