Mitchell Martin
Title:
Senior MLOps Engineer
Location:
Remote Employment Type : Contract
Compensation Pay Range:$60.00-$74.00 Per Hour
Description Design, automate, and manage the full ML/LLM production lifecycle. Create cloud-native infrastructure for workflows using CI/CD and IaC. Develop reusable testing frameworks and secure runtime environments. Implement safe release strategies and enhance observability at scale. Collaborate across teams to balance security, privacy, and performance. Optimize costs and improve templates for repeatable delivery.
Key Responsibilities Manage the productionization of models ensuring resilient services. Build automation-first delivery with reproducible builds and tests. Engineer scalable serving solutions for inference workloads. Instrument end-to-end observability and lead incident management. Translate requirements into designs and change plans. Reduce manual work through automation and optimize resource costs.
Qualifications Bachelor's degree in a related field or equivalent experience. 3 years of experience in operating ML systems in production. Proficient in Python for ML engineering. Experience with CI/CD pipelines and infrastructure as code. Experience in deploying and operating compute for ML. Experience in implementing ML tracking and model deployment. Familiarity with security and compliance in CI/CD pipelines.
Core Technologies CI/CD | Infrastructure as Code | Cloud Services | ML Observability | Python
Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy.
Benefits Learn more about our benefits offerings here https://www.mitchellmartin.com/careers/benefits-perks
EEO Statement Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-JJ1
Senior MLOps Engineer
Location:
Remote Employment Type : Contract
Compensation Pay Range:$60.00-$74.00 Per Hour
Description Design, automate, and manage the full ML/LLM production lifecycle. Create cloud-native infrastructure for workflows using CI/CD and IaC. Develop reusable testing frameworks and secure runtime environments. Implement safe release strategies and enhance observability at scale. Collaborate across teams to balance security, privacy, and performance. Optimize costs and improve templates for repeatable delivery.
Key Responsibilities Manage the productionization of models ensuring resilient services. Build automation-first delivery with reproducible builds and tests. Engineer scalable serving solutions for inference workloads. Instrument end-to-end observability and lead incident management. Translate requirements into designs and change plans. Reduce manual work through automation and optimize resource costs.
Qualifications Bachelor's degree in a related field or equivalent experience. 3 years of experience in operating ML systems in production. Proficient in Python for ML engineering. Experience with CI/CD pipelines and infrastructure as code. Experience in deploying and operating compute for ML. Experience in implementing ML tracking and model deployment. Familiarity with security and compliance in CI/CD pipelines.
Core Technologies CI/CD | Infrastructure as Code | Cloud Services | ML Observability | Python
Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy.
Benefits Learn more about our benefits offerings here https://www.mitchellmartin.com/careers/benefits-perks
EEO Statement Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-JJ1