100+ Machine Operation Jobs - July 2026 - High Salaries
显示193个工作的结果
"machine operation"
不要错过任何 Machine Operation 的新工作机会
管理提醒
Undisclosed
KL City
- Investigate issues, conduct initial issue triage, and support resolution of production model operations.
- Document model behaviour, validation outcomes, testing results, and performance outputs.
- Work with Python-based modelling and analytics solutions within Databricks environments. ...
Posted
16 days ago
Undisclosed
Singapore
- Dive deep into machine learning methods, including large language models (LLMs), multimodal models, and image/video generation models, adapting these methods to TikTok Live scenarios and serving as foundational models and features.
- Currently pursuing a Master's degree in Computer Science.
- Familiarity with large language models and its applications ...
Posted
13 days ago
Undisclosed
KL City
- Build and maintain CI/CD pipelines for machine learning solutions, enabling automated testing, packaging, deployment, and environment management.
- Monitor production ML models and data pipelines, proactively addressing performance, data quality, model drift, latency, and operational issues.
- Collaborate with data engineering, data science, security, and governance teams to deliver reliable, scalable, and compliant AI/ML solutions. ...
Posted
2 days ago
Undisclosed
Singapore
- Leverage AWS services (SageMaker, ECR, EKS/ECS, Lambda, Step Functions, S3, CloudWatch, CloudFormation, Terraform, etc.) to host, scale, and manage model training and inference pipelines.
- Develop monitoring and alerting solutions for model latency, accuracy, data drift, and infrastructure health; integrate with Prometheus, Grafana, CloudWatch, or similar tools.
- Automate model versioning, artifact storage, and metadata tracking using Mlflow or SageMaker model registry. ...
Posted
13 days ago
Undisclosed
Singapore
- Architect and implement solutions leveraging AWS services (SageMaker, ECR, EKS/ECS, Lambda, S3, CloudWatch, CloudFormation, Terraform, etc.) to host, scale, and manage model training and inference pipelines.
- Develop comprehensive monitoring and alerting solutions for model latency, accuracy, data drift, and infrastructure health; integrate with Prometheus, Grafana, CloudWatch, or similar tools.
- Oversee the automation of model versioning, artifact storage, and metadata tracking using Mlflow or SageMaker model registry. ...
Posted
18 days ago
Undisclosed
KL City
- Collaborate closely with IT operations and DevOps teams to ensure the smooth integration of infrastructure platforms with other applications and processes.
- Establish and maintain systems for monitoring machine learning models in production. Oversee the development of machine learning models at MoneyLion to ensure proper model governance.
- Effectively manage cloud infrastructure costs by monitoring and optimizing spending, and provide transparency and accountability in cost-related matters. ...
Posted
9 days ago
SGD6,000 - SGD10,000 每月
Singapore
- Implement monitoring,observability, and alerting for models in production.
- Manage the model lifecycle withMLflow: experiment tracking, versioning, registries, and reproducibility.
- Automate infrastructure andpartner with ML and platform teams on standards. ...
Posted
22 days ago
SGD6,000 - SGD6,000 每月
Singapore
- · Design and maintain CI/CDpipelines for ML models and services.
- · Build and operate modeldeployment, serving, and rollback workflows.
- · Implement monitoring,observability, and alerting for models in production. ...
Posted
23 days ago
Undisclosed
Singapore
- You will also be responsible for training stability and reliability. This includes identifying the root causes of loss spikes, divergence, slow nodes, communication bottlenecks, checkpoint failures, and data-related instability, as well as designing mechanisms for fast checkpoint recovery and automatic exclusion of problematic nodes.
- The ideal candidate has strong hands-on experience with PyTorch distributed training and a solid understanding of CUDA architecture, GPU memory hierarchy, NCCL communication, and performance profiling.
- You should have source-level familiarity with at least one major large-scale training framework, such as Megatron-LM, DeepSpeed, PyTorch FSDP, or TorchTitan, and be comfortable reading, modifying, and debugging framework internals. ...
Posted
24 days ago
Undisclosed
KL City
- Assist Data Scientists with resource provisioning in the model development and deployment phase.
- Help maintain monitoring systems for machine learning models in production environments.
- Contribute to optimizing cloud infrastructure usage and enhancing transparency around resource costs. ...
Posted
a month ago
高机会
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