Job description & requirements
Key Responsibilities:
- Design, develop, and deploy machine learning models and pipelines for various business use cases.
- Preprocess, clean, and validate large datasets for use in training and inference.
- Conduct research and stay updated on the latest AI/ML trends, frameworks, and best practices.
- Optimize models for performance, scalability, and efficiency.
- Collaborate with data engineers and software developers to integrate ML models into production systems.
- Monitor model performance and retrain models as needed.
- Document your work, write clean and maintainable code, and follow best practices in software development and MLOps.
Key Requirements
- Proficient in Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
- Solid understanding of machine learning and deep learning concepts
- Experience in data preprocessing and model deployment
- Familiar with Git; Docker or MLOps tools are a plus
- Strong problem-solving and teamwork skills
- Bachelor’s in Computer Science or related field
Required skills
Data Science Machine Learning Artificial Intelligence (AI)
Culture
What’s it like working at PT Allo Bank Indonesia Tbk?
At Allo Bank, we’re adaptable, collaborative, energetic, and fast-paced. As a dynamic digital bank, we empower our people to create their own path and make meaningful contributions. We're passionate about delivering innovative financial solutions that make a real impact in the community.
What We Offer
- Compensation: Competitive salary
- Family Benefits: Paid maternity and paternity leave
- Allowances: Transport allowance, meal allowance, communication allowance, and end-of-year bonus
- Lifestyle Perks: Casual dress code and regular company outings
- Welfare: Health insurance and paid sick days
Team photos
AI/ML Engineer at PT Allo Bank Indonesia Tbk is one of the 4,000 opportunities available on Tech in Asia Jobs.
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About the company
PT Allo Bank Indonesia Tbk is providing digital financial products to help Indonesians with a seamless experience in Digital Banking to live simply.
- Location
- Indonesia
- Industries
- Digital bank
- Employees
- 201 – 500
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