обновлено 10 часов назад
MLOps Automation Senior Lead Engineer
93 000 - 189 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
MLOps Automation Senior Lead Engineer (MLOps, CI/CD, Cloud): Leading a team that builds and deploys automation for data, analytics, and model development lifecycles with an accent on unattended delivery pipelines, automated testing, and environment provisioning. Focus on developing model-performance feedback mechanisms, scaling cloud-based infrastructure, and troubleshooting complex production issues across development, operations, quality assurance, and security.
Location: Columbus, Ohio, United States; office workplace
Salary: $93,000–$189,000 annual base pay, plus eligibility for applicable incentive compensation.
Company
is a financial services organization developing data-driven products and analytics capabilities.
What you will do
- Lead a team building and deploying MLOps automation for data-driven projects.
- Streamline data, analytics, and model development lifecycles by identifying productivity barriers and automating manual tasks.
- Design unattended delivery pipelines for data pipelines and model builds.
- Develop automated testing, environment provisioning, and production model-monitoring feedback mechanisms.
- Collaborate with product development, architecture, data engineering, testing, operations, quality assurance, and security teams.
- Analyze and troubleshoot complex production issues and present design and implementation documentation.
Requirements
- Bachelor’s degree in Computer Science, Business Administration, Economics, or a related field, or equivalent relevant experience.
- 10+ years of relevant automation or software engineering experience, including technical leadership with data-centric products.
- 10+ years of experience with one or more coding languages such as JavaScript, C++, Python, or Java.
- Experience with CI/CD tools and development platforms such as Jenkins, Artifactory, CircleCI, Ansible, AWS, Azure, Docker, or Kubernetes.
- Experience with CI/CD workflows, automation scripting, configuration management, test-driven development, and release management.
- Strong analytical, troubleshooting, communication, collaboration, and cross-functional leadership skills.
Nice to have
- Understanding of DataOps and ModelOps principles.
- Experience with agile development and financial services.
- Ability to train junior analysts and learn new technologies.
Culture & Benefits
- Office-based workplace approach, with specific arrangements provided by the hiring team; some positions may offer flexibility between office and home.
- Health insurance, wellness programs, life and disability insurance.
- Retirement savings plan, paid leave, paid holidays, and paid time off.
- Exempt position not eligible for overtime pay.
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