AI/ML Engineering SME
Contract
South Portland
Artificial Intelligence/Machine Learning Engineer
Remote
Our client, one of Northern New England's leading tech businesses, is seeking an experienced AI/ML Engineer to help build and scale their multi-cloud AI/ML infrastructure and platform. This role focuses on designing and implementing cloud-native AI/ML framework for a fast-growing commerce technology company.
If you have a strong background in ML engineering, we want to hear from you!
Essential Responsibilities
- Design, build, and optimize a scalable AI/ML infrastructure that supports both GenAI and traditional AI/ML applications.
- Contribute to the end-to-end AI/ML model lifecycle—development, deployment, monitoring, and refresh.
- Help architect and implement an AI Orchestration framework and Vector database integrated with the Data Lakehouse.
- Partner with senior engineers, security teams, and product teams to ensure secure, scalable, and high-performing AI/ML solutions.
- Evaluate and integrate new technologies and services to enhance the AI/ML platform.
- Work closely with SRE and security teams to meet security, performance, and compliance standards.
- Provide mentorship and guidance to other engineers in the AI/ML and Data Engineering teams.
Preferred Qualifications
- 5+ years of experience in ML engineering, software design, and large-scale AI/ML deployment.
- Strong programming skills in Java and Python (or willingness to learn).
- Expertise in distributed computing frameworks like Ray and Spark.
- Experience with supervised and unsupervised ML techniques and Retrieval Augmented Generation applications.
- Hands-on experience with Kubernetes, Terraform, and CI/CD automation.
- Cloud expertise in AWS and/or Azure, with knowledge of tools like S3, EMR, Kubernetes, Lambda.
- Familiarity with SageMaker and experience in AI security best practices is a plus.
- Strong understanding of big data platforms and AI/ML infrastructure.
- Master’s or PhD in Computer Science, Software Engineering, or related fields.
- Experience in payment technology and financial services.
- Track record of mentoring and guiding engineering teams.