Product/Engineering Manager
MLOps Platform
Responsibilities
- Manage big data and machine learning resources in a scalable, secure and cloud-agnostic MLOps environment
- Develop and manage reliable, scalable services and client libraries that operate on massive data in both on-premise and cloud environments
- Establish toolchains that enable engineers to operate services across various on-premise, cloud and hybrid environments
- Building services, products, and infrastructure based on distributed machine learning systems
- Establishing engineering leadership through clear feedback to team members, supporting career development, coordinating team resources, fostering collaboration, and ensuring effective team coordination
- Set up best practices in processes such as architecture and testing, as well as introducing a culture of technical excellence
- Collaborating with technical and product leadership to establish long-term roadmaps
Qualifications
- Experience in developing and operating large-scale distributed web services, including tasks such as testing, monitoring, and managing SLAs
- Experience in developing innovative technical features in collaboration with product/project managers, technical sales teams, and customers
- 5+ years of developer experience and 2+ years of product/engineering manager experience
Submission
- Email your resume to careers@vivity.ai
- Use the following email title format:
[Application] (REC-year-num) Your_Name
- Example:
[Application] (REC-2023-08) John_Wick
. - Make sure that your application code (
REC-year-num
) is correct. - Attach your resume in PDF format.
- Feel free to include any necessary information in your resume. However, be concise and to the point.
Key Dates
- Application (접수): 2023/07/17 ~ 2023/07/28
- Screening (서류심사): ~ 07/31
- Online interview (온라인인터뷰): 07/31 ~ 08/04
- Onsite interview (현장면접): 08/07 ~ 08/18
- Decision (결과): ~ 08/25
Contact: careers@vivity.ai
Posted: 2023-07-17
Code: REC-2023-09