Machine Learning Engineer (Project Based)

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PT Telkomsel Ekosistem Digital
Daerah Khusus Ibukota Jakarta
IDR 80,000,000 - 150,000,000
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Yesterday
Job description

INDICO is a digital technology subsidiary company of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward, INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy.

INDICO is seeking a talented Machine Learning Engineer to join our dynamic team on a project basis. You will be responsible for designing and implementing machine learning models that solve real-world problems while collaborating with various teams to provide actionable insights.

What you will do but not limited to:

  1. Design and implement machine learning models and algorithms.
  2. Conduct experiments to optimize model performance.
  3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  4. Perform data preprocessing, feature selection, and model evaluation.
  5. Monitor and maintain machine learning systems and pipelines in production.
  6. Communicate findings and present results to stakeholders.

Requirements

  1. Bachelor degree in Computer Science, Engineering, Mathematics, or a related field from reputable university.
  2. Minimum 1-3 years of experience working in developing and deploying AI / ML applications, both with structured and unstructured data (such as Computer Vision, NLP, LLM).
  3. Proficiency in programming languages (such as Python, Java, Scala, Rust).
  4. Strong understanding popular AI / ML frameworks and libraries (such as Tensorflow, PyTorch, Scikit-learn).
  5. Knowledge in cloud platforms (AWS, Azure, GCP) and MLOps practices.
  6. Understanding in software development practices.
  7. Experience with big data technologies (such as Hadoop, Spark) is a plus.
  8. Fluency in English and Bahasa Indonesia.
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