Junior AI/NLP/Machine Learning Engineer 2

Maine, United States

Full-time

Remote

$87K/yr - $115K/yr

Entry Level

WEX is a fast-growing AI Engineering team focused on integrating artificial intelligence into their products and business. They are seeking a Junior AI/NLP/Machine Learning Engineer who will collaborate with stakeholders to develop AI platforms and solutions that enhance decision-making and improve customer outcomes.

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Responsibilities

Collaborate with stakeholders to learn about our customers' needs and challenges.
Measure, inspect, and drive decisions using data.
Design, test, code, and instrument AI/ML platforms/tools.
Develop, evaluate, deploy, and monitor AI/ML models.
Develop and maintain CI/CD pipelines using tools such as GitHub Actions.
Implement Infrastructure as Code (IaC) using tools like Terraform.
Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement.
Analyze existing platforms/systems and processes to identify bottlenecks and opportunities for improvements.

Qualification

Required

2+ years of experience as an AI/ML engineer or Data Scientist with strong software development skills or PhD in AI/ML
Bachelor's degree in Computer Science, Software Engineering, or related field; A Master or PhD in the area of AI/ML is a big plus
Proven track record of delivering end-to-end solutions using diverse technologies, with Java, C#, GoLang, or Python as your core programming language
Demonstrated ability to collaborate with stakeholders throughout the product delivery lifecycle
Evidence of innovative problem-solving skills
Experience with using Large Language Models for generative AI projects
Experience with using ML algorithms and platforms
Understanding of data processing techniques
Proficiency in at least one of the languages mentioned above
Experience in commonly used LLM models and/or ML packages including deep learning.
Strong data manipulation skills, knowledge of data processing techniques and experience with ML frameworks.
Solid understanding of probability and statistics concepts (distributions, Bayesian inference, maximum likelihood estimation, etc.)
Experience with software development and the SDLC
Hands-on experience with CI/CD tools and IaC (e.g., Terraform).
Strong coding skills and a deep understanding of software design principles.
Experience with Cloud technology such as AWS
Familiar with Kubernetes