BJAK is hiring a
Lead Machine Learning Engineer, Web3 - Malaysia

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