BJAK is hiring a
Team Lead Machine Learning Developer

Summary

The job is for a Team Lead, Machine Learning Developer at Bjak, a leading insurance portal in Southeast Asia. The role involves leading a team of ML engineers and data scientists, designing, developing, and deploying AI models, and keeping up with the latest ML and AI developments.

Requirements

• Master or Bachelors degree in Data science or equivalent work experience
• Minimum 5 years experience in professional data science/AI Engineer position is a must
• Proven experience leading successful machine learning and data science projects
• Proficiency in machine learning tools like TensorFlow, PyTorch, and Python
• Expertise in data preparation, feature engineering, and model evaluation
• Strong programming skills in Python or similar languages
• Exceptional problem-solving and critical-thinking abilities
• Strong leadership, communication, and teamwork skills
• Passion for staying updated on AI and ML advancements

Responsibilities

• Lead and guide a team of ML engineers and data scientists, supporting their growth
• Collaborate with product managers, software engineers, and stakeholders to spot AI opportunities and turn them into projects
• Create and implement innovative ML models and algorithms
• Oversee the complete ML process, from data collection to deployment
• Keep up with the latest ML and AI developments and apply best practices
• Utilize advanced analytics and visualization for data-driven decisions
• Ensure the security, scalability, and efficiency of ML solutions
• Conduct research to integrate cutting-edge ML techniques

Preferred Qualifications

Knowledge of deep learning, natural language processing, or computer vision is a plus

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