BJAK is hiring a
Lead Machine Learning Engineer, Web3 - Malaysia
![Logo of BJAK](https://cdn.jobscollider.com/logo/bjak-d063.webp)
Summary
The Lead Machine Learning Engineer will shape the future of AI-driven products at Bjak, a financial services company in Malaysia. The role involves leading a team to design, develop, and deploy machine learning models that address business challenges and improve user experiences. Key responsibilities include mentoring the team, collaborating with cross-functional teams, and ensuring the security, scalability, and efficiency of machine learning solutions.
Requirements
- Demonstrated expertise in creating or implementing machine learning models for categorization and labeling
- Proficiency in at least one programming language, such as Python, Go, C++, Java, or similar
- Exceptional written and spoken English communication skills
- Self-driven, quick to adapt, and a valuable asset to collaborative teams
Responsibilities
- Lead and mentor a team of machine learning engineers and data scientists, providing technical guidance and support
- Collaborate with cross-functional teams to identify AI opportunities and integrate machine learning solutions into products
- Design, develop, and implement machine learning models and algorithms that address business challenges and improve user experiences
- Lead research efforts to explore and implement state-of-the-art machine learning techniques and technologies
- Manage the end-to-end machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment
- Drive data-driven decision-making by leveraging data analytics and visualization tools
- Stay current with the latest developments in machine learning and AI and share knowledge with the team
Preferred Qualifications
- Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry!
- Fast moving, challenging and unique business problems
Benefits
- Attractive remuneration and performance incentives
- Strong learning and development plans for your career growth
- Easy to locate area with direct access to public transport
- Be coached and mentored by experts in your field
- International work environment and flat organization
- Competitive salary
- Hybrid working arrangements
- Flexible working hours & arrangement, Casual work attire
This job is filled or no longer available
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