
Mid-Level AI/ML/NLP Engineer
WEX
full-time
Posted on:
Location Type: Hybrid
Location: Portland • California, Illinois, Maine, Massachusetts, Texas, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $87,000 - $115,000 per year
Job Level
JuniorMid-Level
Tech Stack
AWSAzureCloudDockerGoJavaKubernetesPythonSDLCTerraform
About the role
- 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
- Strong data manipulation skills
- Strong communication and collaboration skills
Benefits
- Health insurance
- Dental and vision insurances
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI developmentML modelsInfrastructure as CodeTerraformCI/CD pipelinescontainerizationDockerKubernetesprogramming languagesdata manipulation
Soft skills
problem-solvingcommunicationcollaborationmentoringcontinuous learning
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer SciencePhD in Computer Science