More jobs:
Hatchery Machine Operator: Incubation & Controls
Remote / Online - Candidates ideally in
Bekasi, Indonesia
Listed on 2026-10-02
Bekasi, Indonesia
Listing for:
Japfa
Remote/Work from Home
position Listed on 2026-10-02
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Machine Learning Operations (MLOps) Engineer (Remote)
Our client is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join their globally distributed team, working entirely remotely . You will be responsible for streamlining and automating the lifecycle of machine learning models, from development and training to deployment and monitoring. This role is essential for ensuring that our AI solutions are deployed efficiently, reliably, and will work closely with data scientists, software engineers, and IT operations to build and maintain robust MLOps pipelines, fostering a culture of continuous integration and continuous delivery for AI systems, all from your home office.
Key Responsibilities- Design, build, and maintain CI/CD pipelines for machine learning models.
- Implement and manage infrastructure for training, deploying, and serving ML models.
- Develop strategies for model monitoring, performance tracking, and retraining.
- Automate model validation and testing processes.
- Collaborate with data scientists to optimize models for production environments.
- Ensure the scalability, reliability, and security of ML infrastructure.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in MLOps, Dev Ops, or related infrastructure engineering roles.
- Strong understanding of machine learning concepts and workflows.
- Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Solid scripting skills (e.g., Python, Bash).
- Excellent problem-solving skills and the ability to thrive in a remote , collaborative setting.
- Competitive salary and comprehensive benefits package.
- Fully remote work arrangement, providing ultimate flexibility.
- Opportunities to work with cutting-edge MLOps technologies.
- Professional development support and training budgets.
- A collaborative and innovative team culture focused on empowering AI development.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×