Team Lead, Machine Learning Developer

About Us

Gengmak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Gengmak is the largest insurance portal in Southeast Asia. Our main portal helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, blockchain, trading systems and data science is to enable easy access to financial services that were previously inaccessible or difficult to understand.Our core strengths are in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.If you enjoy building cutting edge platforms and ecosystems to give equal access to financial services for the masses - Speak to us.Job Overview As the Team Lead, Machine Learning Developer, you will play a pivotal role in shaping the development of machine learning solutions. You will lead a talented team of machine learning engineers and data scientists, collaborating with cross-functional teams to design, develop, and deploy AI models that solve complex challenges and drive business success.

Key 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.

RequirementsRequires a 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.Knowledge of deep learning, natural language processing, or computer vision is a plus.Exceptional problem-solving and critical-thinking abilities.Strong leadership, communication, and teamwork skills.Passion for staying updated on AI and ML advancements.

BenefitsDo 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 problemsAttractive remuneration and performance incentivesStrong learning and development plans for your career growthEasy to locate area with direct access to public transportBe coached and mentored by experts in your fieldInternational work environment and flat organizationCompetitive salaryHybrid working arrangementsFlexible working hours & arrangement, Casual work attire

Key Skills

• Python
• Data Science