Part-Time Remote ML Engineer: Build & Deploy Models

RESOURCES ID (PT Antam Resourcindo); United States; Remote; USD 83,000 - 152,000; Part time

Job summary

RESOURCES ID (PT Antam Resourcindo) is seeking a part-time remote Machine Learning Engineer to design, implement, and optimize ML models that support data-driven initiatives. You will preprocess datasets, build and evaluate models, and refine algorithms for pattern recognition and predictive analytics.

You will collaborate with cross-functional stakeholders, translate business needs into technical specs, document workflows, and present findings clearly.

Qualifications

• Strong CS foundations, algorithms, data structures, and software engineering principles.
• Experience building and evaluating ML models for classification, regression, or anomaly detection.
• Familiarity with statistics, probability, hypothesis testing and evaluation metrics.

Responsibilities

• Design, implement, and optimize ML models to support data-driven initiatives.
• Preprocess datasets, build and evaluate models, and refine algorithms for pattern recognition.
• Collaborate with stakeholders to translate business needs into technical specs and document workflows.
• Monitor model performance in production, iterate improvements, and ensure reproducibility and code quality.

Skills

Pattern recognition

Neural networks

Statistics

Problem solving

Communication

Data cleaning

Feature engineering

Education

Bachelor's degree in CS / Data Science / Engineering or equivalent

Tools

Python

TensorFlow

PyTorch

scikit-learn

Git

Job description

RESOURCES ID (PT Antam Resourcindo) is seeking a part-time remote Machine Learning Engineer to design, implement, and optimize ML models that support data-driven initiatives. You will preprocess datasets, build and evaluate models, and refine algorithms for pattern recognition and predictive analytics.

You will collaborate with cross-functional stakeholders, translate business needs into technical specs, document workflows, and present findings clearly.