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Principal automation, AI, & ML

  • Full Time, onsite
  • PT Bank Multiarta Sentosa Tbk (Bank MAS)
  • Jakarta Raya, Indonesia
Salary undisclosed

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Responsibilities

  • Lead the initiation, design and implementation of automation, AI, and ML solutions to enhance banking operations.
  • Drive the integration of AI/ML models in key business functions, including risk management, fraud detection, and customer analytics.
  • Develop machine learning system from development and production.
  • Continuously improve and fine-tune models based on feedback and new data.
  • Oversee the development of predictive models and optimize existing automation systems.
  • Collaborate with senior leadership to identify and prioritize AI/ML initiatives.
  • Stay ahead of emerging technologies and trends to ensure innovation in banking processes.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Having experience as AI or ML engineer for 6 years.
  • Proficiency in SQL, Python and Statistics.
  • Strong problem-solving skills and good teamwork abilities.
  • Having experience to develop machine learning model from business problem formulation up to daily basis production monitoring along with ML-OPS best practice.
  • In-depth knowledge of deep-learning algorithms and techniques, including neural-networks, supervised learning and unsupervised learning.
  • Familiarity with frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn for model development and experimentation.
  • Preferable candidate who has banking industry knowledge

Responsibilities

  • Lead the initiation, design and implementation of automation, AI, and ML solutions to enhance banking operations.
  • Drive the integration of AI/ML models in key business functions, including risk management, fraud detection, and customer analytics.
  • Develop machine learning system from development and production.
  • Continuously improve and fine-tune models based on feedback and new data.
  • Oversee the development of predictive models and optimize existing automation systems.
  • Collaborate with senior leadership to identify and prioritize AI/ML initiatives.
  • Stay ahead of emerging technologies and trends to ensure innovation in banking processes.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Having experience as AI or ML engineer for 6 years.
  • Proficiency in SQL, Python and Statistics.
  • Strong problem-solving skills and good teamwork abilities.
  • Having experience to develop machine learning model from business problem formulation up to daily basis production monitoring along with ML-OPS best practice.
  • In-depth knowledge of deep-learning algorithms and techniques, including neural-networks, supervised learning and unsupervised learning.
  • Familiarity with frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn for model development and experimentation.
  • Preferable candidate who has banking industry knowledge