Machine Learning Engineer - Predictive Modeling

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

About the Role

Our client is looking for a skilled Machine Learning Engineer specializing in predictive modeling to join their innovative team in Welkom, Free State. This role is central to developing and deploying advanced machine learning models that drive critical business decisions and enhance operational efficiency. You will work with large datasets, apply sophisticated algorithms, and translate complex data insights into actionable predictions. The position offers a significant opportunity to contribute to the company's growth and technological advancement within the Welkom region. We are seeking a proactive individual with a strong analytical mindset and a proven ability to build and optimize predictive systems. This role is integral to our data science division and requires close collaboration with various business units.

Key Responsibilities

• Design, build, train, and deploy machine learning models for predictive analytics, forecasting, and classification tasks.
• Develop robust data pipelines for data ingestion, preprocessing, and feature engineering.
• Evaluate model performance, perform hyperparameter tuning, and implement strategies for continuous model improvement.
• Collaborate with data scientists and domain experts to understand business requirements and translate them into technical solutions in Welkom, Free State.
• Implement machine learning models into production environments, ensuring scalability and reliability.
• Monitor deployed models for performance degradation and drift, implementing necessary updates.
• Research and apply new machine learning techniques and algorithms to solve challenging problems.
• Document model development, implementation, and performance metrics thoroughly.
• Contribute to the team's knowledge base by sharing insights and best practices in predictive modeling.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Proven experience as a Machine Learning Engineer or similar role, with a focus on building predictive models.
• Proficiency in Python and common machine learning libraries (e.g., Scikit-learn, Pandas, NumPy).
• Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
• Strong understanding of statistical modeling, algorithms, and evaluation metrics.
• Experience with data visualization tools and techniques.
• Familiarity with SQL and experience working with relational databases.
• Ability to work effectively in a hybrid team setting in Welkom.
• Excellent problem-solving skills and attention to detail.

Benefits

• Competitive salary package reflecting expertise and experience.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and attending industry conferences.
• Access to modern technology and data infrastructure.
• A dynamic and collaborative work environment in Welkom, Free State.
• Paid leave and company holidays.
• Potential for hybrid work flexibility.