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Angkas

Machine Learning Engineer

3-5 Years
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  • Posted 14 hours ago
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Job Description

  • Collaborate with Machine Learning Engineers, Backend Engineers, Data Scientists, and Product Managers to develop AI-powered features and services
  • Build, deploy, and maintain production-ready machine learning models that improve allocation, ETA prediction, demand forecasting, and marketplace optimization
  • Develop scalable data processing, feature engineering, and model training pipelines for large-scale datasets
  • Integrate machine learning models into backend services and ensure reliable, low-latency inference in production
  • Monitor model performance, identify model drift, and continuously improve model accuracy and operational reliability
  • Contribute to MLOps practices including model versioning, automated deployment, monitoring, and experimentation
  • Write clean, maintainable, and well-tested code while following software engineering best practices
  • Participate in technical discussions, code reviews, and knowledge sharing to continuously improve the team's engineering standards

Requirements

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field
  • At least 3 years of professional experience building and deploying machine learning applications in production
  • Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Experience with SQL and data processing frameworks for working with large datasets
  • Familiarity with model deployment, REST APIs, Docker, Kubernetes, and cloud-based infrastructure
  • Understanding of MLOps concepts including model lifecycle management, monitoring, CI/CD, and experimentation
  • Solid software engineering fundamentals including version control, testing, debugging, and system design
  • Strong analytical, problem-solving, and communication skills with the ability to work effectively in cross-functional teams

Benefits

Why join Angkas

  • Freedom of work
  • Work-life balance
  • Free meals and use of gym
  • Opportunities for promotion
  • Competitive salary
  • Pay raise
  • Start-up environment
  • Multi-cultural and Agile work environment
  • Diversified use of technology

More Info

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About Company

Job ID: 150865983

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