ML Ops

AssistX Enterprise

Actively hiring 7d ago

Full-Time
On-site • Jakarta Pusat

Min. 1 years of experience

Rp5.000.000 – 10.000.000

No Sign Up Required!

Actively hiring 7d ago

Job Description

Implement and optimize continuous integration/continuous deployment (CI/CD) pipelines for machine learning models
Collaborate with DevOps and IT teams to integrate machine learning workflows with existing systems and infrastructure
Develop the engineering architecture and data pipelines needed to enable large-scale machine learning systems
Work with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs
Implement best practices for version control, model versioning, and reproducibility in machine learning projects

Requirements

Bachelor’s/Master's degree in Computer Science, Artificial Intelligence, or a related field from reputable university
2-5 years of experience in MLOps, Machine Learning engineering, Data engineering, or a related field
Solid understanding of ML model training concepts
Experience with popular ML frameworks (TensorFlow, PyTorch, scikit-learn)
Familiarity with model deployment tools (e.g., MLflow, TensorFlow Serving, Kubeflow)
Proven experience deploying machine learning models into production environments
Expertise in building and maintaining CI/CD pipelines for machine learning
Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes
Experience in any of the cloud platforms (Azure, Google Cloud, or AWS)
Knowledge of using monitoring and logging tools (e.g., Prometheus)

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About AssistX Enterprise

Learn More

In today’s fast-paced business environment, companies struggle with managing and extracting actionable insights from vast amounts of data. Traditional methods often fall short, leading to inefficiencies and missed opportunities for growth.

AssistX Enterprise provides cutting-edge AI solutions designed to analyze and optimize data,transforming it into valuable insights. Our technology empowers businesses to make informed decisions quickly and efficiently, unlocking new levels of performance and innovation.

Industry

Software Development

Location

Jakarta, Indonesia

Company Size

50–100 employees