MLOps Engineer

Home/Careers/MLOps Engineer Applied AI Engineering MLOps Engineer MLOps Engineers manage the end-to-end lifecycle of machine learning models. Apply for this roleManage an applicationBack to careers Overview MLOps Engineers manage the end-to-end lifecycle of machine learning models. Responsibilities Design MLOps pipelines: Implement automated pipelines for model training, testing, deployment, and monitoring. Collaborate with data scientists: Optimize deployment and integration of models into production systems. Automate testing and quality control: Build tests for model performance and monitor drift. Ensure version control and reproducibility: Manage artifacts, track experiments, and implement rollback strategies. Optimize pipelines: Improve performance, reliability, and compliance with security standards. Qualifications Bachelor's or master's degree in computer science or related field. Experience with CI/CD, version control systems, and container orchestration. Strong programming skills in Python and ML frameworks. Equal opportunity TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics. Engagement pathways and compensation status TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation. Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway. Educational internship interest requires separate supervision, educational purpose, and legal review. Advisory expressions of interest are not board or formal advisory appointments. Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer. Accessibility and accommodations For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents. Posting information Department Applied AI Engineering Public role ID TAIRC-ROLE-018 Status Open Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values. Recruitment privacy Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy. Show more Show less