Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
NA
Hybrid Senior Software Developer – Machine Learning Infrastructure, Deployment
Posted 5 hours ago
About the role
- Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting-edge fraud detection tools alongside analytics teams using AWS and Terraform.
Responsibilities
- Design, implement, and maintain cloud pipelines using AWS, Jenkins, and Terraform for machine learning development, testing, and deployment.
- Partner with analytics teams as a subject matter expert to support the development and deployment of machine learning products.
- Lead incident response and root cause analysis, developing solutions that prevent future issues and reduce downtime.
- Build and optimize configuration management and automation frameworks for consistent, reliable deployments.
- Ensure data governance, security compliance, and access control across all data environments.
Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 3+ years of experience in Cloud Development, DevOps, or related roles with strong focus on AWS.
- Hands-on expertise with AWS and Terraform for infrastructure management.
- Proficiency in developing Java and Python backend microservices, with solid understanding of SQL and database concepts.
- Experience with monitoring and alerting tools to supervise system performance and health.
- Nice to Have: Experience with SageMaker tool suite. Proficiency with CI/CD tools like GitHub and Jenkins. AWS EMR development experience with Java or Scala. Additional certifications in DevOps, AWS, Terraform, or related technologies would be an asset.
Benefits
- We offer a competitive, well-rounded rewards package that supports you and your family — inside and outside of work.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.