Machine Learning Manager

1 week ago

Petaling Jaya, Malaysia Bjak Full time

**About Us**

We leverage cutting-edge technology, including Custom APIs, trading systems, and data science, to simplify financial services that were once complex and inaccessible. Our ability to navigate complex regulations has enabled us to pioneer groundbreaking products, such as offering investment-linked life and health insurance online with instant agent support.

We are now looking for a **Lead AI Engineer based in Malaysia** to join our team in a hybrid working model. If you are passionate about AI-driven innovations and making financial services more accessible, we’d love to hear from you.

**Key Responsibilities**:

- Lead and mentor a team of AI engineers, providing technical guidance and fostering growth.
- Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
- Oversee the AI model lifecycle, including data collection, preprocessing, training, evaluation, and deployment.
- Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
- Ensure AI solutions are scalable, efficient, and secure.
- Utilize data analytics and visualization techniques for data-driven decision-making.

**Requirements**:

- Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven experience in AI engineering, data science, or related roles, with leadership experience.
- Strong proficiency in AI frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
- Expertise in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and critical-thinking skills.
- Effective leadership, communication, and team management abilities.
- **Must be a Malaysian citizen.**:

- Fluent in English; proficiency in Bahasa Malaysia is a plus.

**Benefits**
- Hybrid working model (Malaysia-based)
- Fast-moving and dynamic work environment
- Attractive remuneration and performance incentives
- Strong learning and career growth opportunities
- Exposure to international projects and collaboration
- Competitive salary

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