Deskripsi pekerjaan Machine Learning Ops Engineer AJARI TECHNOLOGIES
Role Description
This full-time on-site role located in the Jakarta Metropolitan Area involves serving as an MLOps Engineer and collaborating with R&D, data scientists, and software developers. You will address issues in developing, testing, and deploying ML algorithms to production servers. Our MLOps Engineer is responsible for developing and maintaining the infrastructure architecture and production pipelines while prioritizing improving efficiency, reliability, and security.
Qualifications
- Experience in Python and its popular ML libraries
- Good understanding of containerization technology and deployment tools such as Docker and Kubernetes
- Hands-on experience with AWS or other cloud services such as GCP or Azure
- 3+ years of work experience in the field of ML development and deployment
- Experience with implementing and managing data preprocessing pipelines
- Build monitoring pipelines for validating data, data schema, and models
- Experience with Agile methodology and Git version control system
- Strong understanding of managing Infrastructure as Code (IaC) using Terraform or CloudFormation is preferred
- Excellent communication and teamwork skills to work effectively with data scientists, software engineers, and R&D teams
- Bachelor's or Master's degree in Computer Science or a related field
- Understanding of DevOps practices and experience in building automated pipelines from scratch is a plus
- Proficient in English is preferrable
