Remote Data Scientist (ML/AI) | MLOps & Predictive Modeling

Quik Hire Staffing; Indonesia; Remote; IDR 300,000,000 - 540,000,000; Full time

Job summary

Quik Hire Staffing is seeking a Data Scientist (ML) to join a remote, full-time team focused on building and deploying machine learning models to improve predictive accuracy for client datasets.

You will collaborate with cross-functional teams, preprocess large-scale data, develop MLOps pipelines, and present insights with clear visualizations and reports to stakeholders.

Qualifications

• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch) required.
• Experience with SQL for data extraction and analysis.
• Strong background in statistical modeling and experimental design.
• Familiarity with AWS, GCP, or Azure for model deployment.

Responsibilities

• Design, train, and optimize ML models for classification, regression, and clustering tasks.
• Preprocess and analyze large-scale structured and unstructured datasets to extract insights.
• Implement and maintain MLOps pipelines for deployment, monitoring, and retraining.
• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control.
• Present findings and recommendations to stakeholders through visualizations and technical reports.

Skills

Python

scikit-learn

TensorFlow

PyTorch

SQL

Statistics

Cloud platforms

Remote work

Git

Tools

Git

Job description

We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a Full-Time basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.

Key Responsibilities:

• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.

• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.

• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.

• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.

• Present findings and recommendations to stakeholders through clear visualizations and technical reports.

Required Skills & Qualifications:

• Proficiency in Python and relevant libraries such as scikit-learn, TensorFlow, or PyTorch.

• Experience with SQL for data extraction, transformation, and analysis.

• Strong background in statistical modeling and experimental design.

• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.

• Ability to work independently in a remote environment with minimal supervision.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.