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Deskripsi Pekerjaan

  • Prototyping, developing, and deploying advanced analytics data models and machine learning solutions
  • Communication with the product and business teams to understand business processes and translate them to modeling requirements
  • Analyze large volume data and generate insights which will be actionable
  • Implement and deploy ML models in collaboration with the engineering team
  • Monitor and perform analytics on deployed model in order to evaluate model drift and assess when the model should be retrained

Kualifikasi

  • Minimum Bachelor degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline.
  • Having minimum 2-4 years of work experience in information systems.
  • Experienced in deploying machine learning models to production, CI/CD Pipeline, Deployment Automation
  • Strong foundation in SQL Server
  • Experienced in Machine Learning, Computer Vision, and Deep Learning specific algorithm (SKLearn, TensorFlow)
  • Familiar with Azure/GCP/AWS
  • Strong oral and written communication skills in English language.
Tentang Kamoro Maxima Integra
Selengkapnya

Kamoro Maxima Integra is a Jakarta-based IT consulting company that has been providing exceptional IT outsourcing services, custom software development services, and application integration since 2003. We've worked with small to medium-sized businesses with just a few hundred users, as well as Fortune Global 500 companies with over ten thousand users.

Whether you have an idea for a simple project or require a custom application for your business, our team of skilled developers is here to help. We take pride in bringing our clients' visions to life, and we'd love to do the same for you. Let us show you how we can transform your ideas into successful products that will elevate your business to the next level.

Industri
IT Services & IT Consulting
Lokasi
Jakarta Barat, Indonesia
Ukuran Perusahaan
50–100 employees

Budaya

Open
Outstanding result stems from a free and welcoming enviroment
Respectful
Everyone should be treated with courtesy and professionalism
Quality
We put great emphasis on preserving the high existing standard of our products/services