Senior AI Engineer — Build Scalable ML in Production

BitHealth; Tangerang; On-site; IDR 900,000,000 - 1,200,000,000; Full time

Job summary

BitHealth in Tangerang, Indonesia is seeking a Senior AI/ML Engineer to design and implement scalable machine learning models for real-world applications. You will lead end-to-end AI solution development, including data preprocessing, model training, evaluation, deployment, and monitoring.

You will collaborate with data science, product, and engineering teams to embed AI into products, research new techniques, optimize models for production, and mentor junior engineers while staying current with

Qualifications

• PhD preferred; degree in CS/AI or related field.
• 5+ years in AI/ML or software engineering with deployed models.
• Proficient in Python and ML frameworks.
• Experience with cloud platforms and MLOps tools.
• Strong problem-solving, communication, and leadership skills.

Responsibilities

• Design and implement scalable machine learning models for real-world applications (e.g., NLP, computer vision, recommendation systems).
• Lead end-to-end AI solution development: data preprocessing, model training, evaluation, deployment, and monitoring.
• Collaborate with cross-functional teams including Data Science, Product, and Engineering to integrate AI into products.
• Research and prototype new algorithms and techniques to solve complex problems.
• Optimize models for performance, accuracy, and efficiency in production environments.
• Mentor and guide junior AI engineers and data scientists.
• Stay current with the latest AI trends, tools, and technologies.

Skills

Python

ML frameworks

Cloud platforms

MLOps

Leadership

Research

Education

Bachelor's or Master's in CS/AI

PhD preferred

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

Job description

BitHealth in Tangerang, Indonesia is seeking a Senior AI/ML Engineer to design and implement scalable machine learning models for real-world applications. You will lead end-to-end AI solution development, including data preprocessing, model training, evaluation, deployment, and monitoring.

You will collaborate with data science, product, and engineering teams to embed AI into products, research new techniques, optimize models for production, and mentor junior engineers while staying current with