Predictive ML Engineer - Hybrid, Growth & Innovation

Placements24; United States; Hybrid; USD 36,000 - 72,000; Full time

Benefits offered by this job

Hybrid work

Professional development

Health benefits

Paid time off

Job summary

Placements24 in Welkom, South Africa is seeking a skilled Machine Learning Engineer to design, train, and deploy predictive models that drive business decisions and enhance operational efficiency. You will work with large datasets, build robust data pipelines, and translate insights into actionable predictions.

Collaborate with data scientists and domain experts to deliver production-ready solutions in a hybrid environment in Welkom, ensuring model monitoring, drift detection, and continuous

Qualifications

• Bachelor's or Master's in CS/Statistics/Data Science or related field.
• Proven ML engineer experience building predictive models.
• Proficient in Python and ML libraries.
• Experience with data pipelines and SQL.

Responsibilities

• Design, train, and deploy ML models for predictive analytics.
• Develop robust data pipelines for ingestion, preprocessing, and feature engineering.
• Evaluate model performance, tune hyperparameters, and implement improvement strategies.
• Collaborate with data scientists and domain experts to translate business requirements into technical solutions.
• Implement ML models into production environments, ensuring scalability and reliability.
• Monitor deployed models for performance degradation and drift, updating as needed.
• Research and apply new ML techniques to solve problems.
• Document model development, implementation, and performance metrics.
• Share insights and best practices in predictive modeling.

Skills

Python

Machine Learning

Data preprocessing

TensorFlow/PyTorch

SQL

Data visualization

Education

Bachelor's degree in CS/Statistics/Data Science

Tools

Scikit-learn

Pandas

NumPy

Job description

Placements24 in Welkom, South Africa is seeking a skilled Machine Learning Engineer to design, train, and deploy predictive models that drive business decisions and enhance operational efficiency. You will work with large datasets, build robust data pipelines, and translate insights into actionable predictions.

Collaborate with data scientists and domain experts to deliver production-ready solutions in a hybrid environment in Welkom, ensuring model monitoring, drift detection, and continuous