Lead ML Engineer: Build Production AI Pipelines

Finku; Indonesia; On-site; IDR 334,800,000 - 781,200,000; Full time

Job summary

Finku in Jakarta, Indonesia seeks an experienced Machine Learning Engineer to analyze large data volumes, design scalable ML architectures, and lead development of pipelines.

The role emphasizes mentoring junior engineers, adopting cutting-edge AI techniques, collaborating with cross-functional teams, and driving ML initiatives aligned with business goals.

Qualifications

• Strong academic background in STEM
• 3-6 years in machine learning engineering or data science
• Proven track record of bringing ML models to production
• Excellent problem-solving skills and ability to work independently
• Ownership over building new data & AI projects
• Strong communication and teamwork with stakeholders
• Experience in leading and mentoring engineering teams
• Proficiency in Finance and GenAI related projects

Responsibilities

• Analyze large volumes of data, identify patterns and gain insights for consumers.
• Lead the design, development, and maintenance of scalable ML architectures and pipelines.
• Explore new models and improve existing ML models.
• Mentor junior ML engineers and promote best practices.
• Bring best practices in ML with a scalable tech stack.
• Push status quo by researching and adopting cutting-edge AI technologies.
• Collaborate with cross-functional teams to align ML solutions with business goals

Skills

Machine Learning

Data Science

Production ML

Mentoring

Ownership

Problem Solving

Communication

Teamwork

GenAI

Finance knowledge

Education

STEM degree preferred

Job 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 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.