
ML Ops
AssistX Enterprise
Rekruter aktif 5h lalu
- Penuh waktu
- On-site • Jakarta Pusat
- Rp5.000.000 – 10.000.000
Min. 1 years of experience
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Deskripsi Pekerjaan
- 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
Kualifikasi
- 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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Tentang AssistX Enterprise
SelengkapnyaIn 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.
Industri
Software Development
Lokasi
Jakarta, Indonesia
Ukuran Perusahaan
50–100 employees