Remote ML Engineer – Predictive Analytics

Placements24; Queenstown; Hybrid; NZD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Incentives

Remote autonomy

Work-life balance

Learning opportunities

Paid time off

Wellness programs

Job summary

Placements24 is seeking a skilled Machine Learning Engineer specializing in predictive analytics for a fully remote role. You will design and deploy scalable ML models, build data pipelines, and collaborate with data scientists and software engineers to integrate ML into products.

The ideal candidate has 3+ years in ML engineering, strong Python expertise, and a solid foundation in statistics, time-series, and cloud concepts.

Qualifications

• 3+ years hands-on ML engineering with predictive modeling focus.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, Keras).
• Strong background in statistical modeling, regression, classification, and time-series.
• Experience with SQL and handling large datasets; cloud familiarity a plus.

Responsibilities

• Design, build, and maintain scalable ML models for predictive analytics.
• Develop data pipelines for model training, evaluation, and deployment.
• Perform feature engineering and selection to improve model performance.
• Monitor and fine-tune deployed models to ensure accuracy and relevance.
• Collaborate with data scientists and software engineers to integrate ML into products.
• Conduct experiments to test new algorithms and approaches in predictive modeling.
• Communicate model results and insights to stakeholders clearly.
• Stay updated on advancements in ML and predictive analytics.

Skills

ML engineering

Python & ML libs

Statistics & time-series

SQL

Cloud platforms

Problem solving

Communication

Education

Bachelor's or Master's in CS/Stats/Math

Tools

scikit-learn

TensorFlow

PyTorch

Keras

Job description

Placements24 is seeking a skilled Machine Learning Engineer specializing in predictive analytics for a fully remote role. You will design and deploy scalable ML models, build data pipelines, and collaborate with data scientists and software engineers to integrate ML into products.

The ideal candidate has 3+ years in ML engineering, strong Python expertise, and a solid foundation in statistics, time-series, and cloud concepts.