Machine Learning Engineer Lead

Who are we

At DANA, we are building an inclusive digital ecosystem. We pride ourselves in bringing technology that makes access to financial services safe, secure, and frictionless for millions of people in Indonesia.

What machine learning engineers do

Machine learning engineers turn models into software. they divide their time between development and maintenance of a deployed machine learning pipelines, developing new machine learning pipelines, and improving the scalability and reliability of a running machine learning modules.

Our machine learning engineers concentrate on how we can confidently deliver machine learning pipelines on a scale that is required to support DANA ecosystems. They are working tightly together with technical-minded people such as software engineers, devops engineers, and data engineers to ensure smooth integration between various systems. Some work that our machine learning engineers did include:

• Design and setup a unified and scalable machine learning architecture that can be applied to all data products
• Develop reusable machine learning pipeline components
• Brings model inference from experiment phase into production phase so that other DANA systems can consume prediction result in either batch or online process.

Key Responsibilities

• Lead the design, development, and maintenance of scalable machine learning architectures and pipelines.
• Mentor and guide junior machine learning engineers, promoting best practices and technical excellence.
• Ensure seamless integration of machine learning models into production environments.
• Collaborate closely with cross-functional teams to align machine learning solutions with business goals.
• Stay current with the latest advancements in machine learning and related technologies, and drive their adoption within the team.

Qualifications

• Minimum of 5 years of experience in machine learning engineering or related fields.
• Proven track record of bringing machine learning models to production.
• Strong programming skills in languages such as Python, and proficiency with machine learning frameworks like PyTorch.
• Experience with data processing tools like Apache Spark and orchestration tools like MLflow.
• Excellent problem-solving skills and the ability to work independently.
• Strong communication skills and the ability to work collaboratively with remote teams.

Preferred Qualifications

• Advanced degree in computer science, engineering, or a related field.
• Experience in leading and mentoring engineering teams.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of MLOps practices and tools.

If you are passionate about machine learning and excited about the opportunity to lead and shape our machine learning engineering team, we would love to hear from you. Apply now and be part of our innovative and dynamic team.