Senior AI/ML Engineer (CV) - Remote & Scalable Models

Stedi Talent Solution; Jakarta Utara; On-site; IDR 2,458,297,000 - 3,687,445,000; Full time

Job summary

Stedi Talent Solution seeks an AI / Machine Learning Engineer passionate about designing, building, and deploying data-driven models into real-world applications. You will train and optimize models while collaborating with software engineers to integrate AI into production systems.

The role involves developing data pipelines, deploying models, and optimizing performance across structured and unstructured data in a remote, cross-functional team environment.

Qualifications

• Minimum 8 years of relevant experience in AI, ML, or Data Science roles.
• Excellent English communication skills.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Familiarity with deploying ML models in cloud environments (AWS, GCP, Azure).
• Strong communication skills and ability to work effectively in a remote, cross-functional team.

Responsibilities

• Design, build, train, and evaluate machine learning and AI models for real-world use cases.
• Work with structured and unstructured data to develop predictive, classification, or generative models.
• Develop and maintain data pipelines for data collection, preprocessing, and feature engineering.
• Deploy machine learning models into production environments and monitor their performance.
• Optimize models for accuracy, scalability, and efficiency.
• Collaborate with cross-functional teams (engineering, product, data) to translate business needs into AI solutions.
• Leverage AI-assisted development tools (GitHub Copilot, Cursor, Warp, etc.) to improve development speed and code quality.

Skills

Python

ML frameworks (TensorFlow, PyTorch, sc

English communication skills

Indonesian citizen

Remote cross-functional collaboration

Tools

AWS

GCP

Azure

Job description

Stedi Talent Solution seeks an AI / Machine Learning Engineer passionate about designing, building, and deploying data-driven models into real-world applications. You will train and optimize models while collaborating with software engineers to integrate AI into production systems.

The role involves developing data pipelines, deploying models, and optimizing performance across structured and unstructured data in a remote, cross-functional team environment.