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Salary
≈ $101k – $271k per year (Estimated)
Location
In office (Tangerang)
Employment
Full-Time

First seen by Alion on Sep 15, 2026.

Overview
Company
Impact
Profile match
Services Products Industries Training Company About Us Appfuxion Consulting Enterprise services & solutions that create a flexible & robust digital business platform to match your growth ambitions. Our Team.

Company Description

PT Appfuxion Consulting Indonesia is a leading provider of digital solutions and software testing services to various industries in the Asia-Pacific Region, including Banking, Insurance, Retail, Telecommunication, and Hospitality. With a focus on delivering high-quality and innovative digital solutions, we have built a team of 500 skilled professionals who are experienced in software blueprint, architecture, process automation, quality assurance, and project management. Our customer-centric approach ensures that we are a natural extension of our clients' teams, delivering the right digital solutions on time and reducing project complexity.

Role Description

This is a full-time on-site role for a Senior Machine Learning Engineer located in Tangerang. As a Senior Machine Learning Engineer, you will be responsible for developing and implementing machine learning models, utilizing pattern recognition, neural networks, and algorithms. You will work closely with the team to analyze data, develop statistical models, and improve existing machine learning algorithms. In this role, you will also be responsible for evaluating and integrating new technologies, as well as collaborating with cross-functional teams to ensure the successful deployment of machine learning solutions.

Qualifications

  • Strong knowledge and experience in Pattern Recognition, Computer Science, NLP, Generative AI, and Neural Networks
  • Hands-on experience in Fine-Tuning LLM LLama Model
  • Hands-on in Prompt Engineering
  • Proficiency in Statistics, Algorithms, and data analysis
  • Experience in developing and implementing machine learning models
  • Ability to evaluate and integrate new technologies
  • Excellent problem-solving and analytical skills
  • Strong programming skills, preferably in Python or R
  • Experience with machine learning frameworks and libraries, such as TensorFlow or PyTorch
  • Knowledge of natural language processing and deep learning is a plus
  • Bachelor's or Master's degree in Computer Science, Statistics, or a related field


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