Principal automation, AI, & ML
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