We are looking for an experienced ML Ops Engineer to join our team. The successful candidate will be responsible for developing, deploying, and managing our machine learning models. They will also be responsible for ensuring the accuracy and reliability of our models
Responsibilities:
Develop, deploy, manage, and maintain the infrastructure for machine learning models.
Deploy models to AWS, ensuring scalability and performance.
Monitor the performance of machine learning models in production.
Implement CI/CD, Docker, k8s, IaC, and other Ops tools.
Expected ~75% time devoted to DevOps, 25% devote to ML.
Research and implement new technologies to improve model performance
Collaborate with other teams to ensure the successful deployment of our models.
Requirements
5+ years of experience in DevOps, with a focus on ML Ops.
Proficiency with AWS Ecosystem, EC2, Lambda, IAM, EBS.
Experience with GitHub, CloudFormation, Terraform, VPN, monitoring, logging, alerting, Poetry, and PagerDuty.
Familiarity with Jira, Confluence, Slack, and Google Doc.
Qualifications/Skills:
Excellent problem-solving and analytical skills.
Strong communication and interpersonal skills.
Ability to work independently and as part of a team.
Ability to work in a fast-paced environment.
Knowledge of DevOps and CI/CD processes.
Benefits:
This is a contractor position, paid hourly with the option of becoming a employee after 3 months fully on the payroll with benefits.
