Lead Machine Learning Engineer

Finku; Jakarta Pusat; On-site; IDR 240,000,000 - 480,000,000; Full time

Job summary

Finku in Jakarta is seeking a seasoned Machine Learning Engineer to analyze large data volumes, design scalable ML architectures, and push cutting-edge AI techniques into production.

You will mentor junior engineers, collaborate with cross-functional teams, and own data and AI projects from conception to deployment.

The role emphasizes a strong STEM background with 3–6 years of experience and proven production ML delivery, including finance-related contexts.

Qualifications

• Strong academic background; STEM preferred.
• 3–6 years of ML engineering or data science experience.
• Proven track record of bringing ML models to production.
• Ability to work independently and solve problems.
• Ownership mindset for new data & AI projects.

Responsibilities

• Analyze large volumes of data, identify patterns and insights.
• Lead design/ development of scalable ML architectures and pipelines.
• Explore new models and improve existing models.
• Mentor junior ML engineers and promote best practices.
• Apply best ML practices with scalable tech stack.

Skills

Machine Learning

Data Science

Python

Production ML

Mentoring

Teamwork

Communication

GenAI

Finance domain

Job description

Role Description

• Analyze large volumes of data, identify patterns and find insights that are useful for consumers.
• Lead the design, development, and maintenance of scalable machine learning architectures and pipelines.
• Explore new models and improve existing ML models.
• Mentor and guide junior machine learning engineers, promoting best practices and technical excellence.
• Bring the best practice in ML with a scalable tech stack.
• Push to improve Status Quo by researching and adopting cutting-edge AI technology and techniques.
• Collaborate closely with cross-functional teams to align machine learning solutions with business goals.

Role Requirements

• Strong academic background (background in STEM is preferred).
• Prior experience in machine learning engineering or data science for 3-6 years.
• Proven track record of bringing machine learning models to production.
• Excellent problem-solving skills and the ability to work independently.
• Comfortable to take ownership over building new data & AI project.
• Strong communication and teamwork within team and other project stakeholders.
• Experience in leading and mentoring engineering teams.
• Proficiency in Finance and GenAI related projects with proven experience.