Machine Learning Engineer - Predictive Analytics

Placements24; United States; Hybrid; USD 36,000 - 73,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Hybrid work model

Health insurance

Generous leave

Career development

Retirement plan

Team events

Employee discounts

Job summary

Placements24 is seeking a talented Machine Learning Engineer to design, build, and deploy predictive analytics models in a hybrid work setting in Klerksdorp, North West. You will work with large datasets, implement scalable ML solutions, and translate business needs into robust ML systems.

The ideal candidate has a strong foundation in machine learning and software engineering, with experience in Python, ML libraries, data manipulation, and cloud/MLOps practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Machine Learning Engineer or similar role, with a focus on predictive modeling.
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
• Solid understanding of various machine learning algorithms (regression, classification, clustering, time series analysis).
• Experience with SQL and database management.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is desirable.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics tasks.
• Collaborate with data scientists and domain experts to translate business needs into ML solutions.
• Clean, preprocess, and engineer features from large datasets.
• Evaluate model performance and implement improvements.
• Build and maintain data pipelines for training and inference.
• Stay up-to-date with ML advancements and deployment practices.
• Implement ML models into production environments ensuring scalability.
• Monitor deployed models and retrain as necessary.
• Communicate findings to technical and non-technical stakeholders.
• Contribute to best practices for ML development and deployment.

Skills

Python programming

ML modeling & deployment

Data preprocessing & feature eng

SQL & database knowledge

Big data familiarity

Communication & teamwork

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Spark

Hadoop

AWS/GCP/Azure

MLflow / MLOps

Job description

About the Role

Our client is seeking a talented Machine Learning Engineer to focus on predictive analytics within their dynamic team in Klerksdorp, North West . This role is centered on designing, building, and deploying robust machine learning models to forecast trends, identify patterns, and drive data-informed decision-making across the business. You will work with large datasets, leverage advanced statistical techniques, and implement scalable ML solutions. This is an excellent opportunity to apply your expertise in a challenging environment, contributing to critical business insights and strategic planning. We are looking for a candidate who is passionate about solving complex problems using data and has a strong foundation in machine learning principles and software engineering best practices. Join a collaborative team that values innovation and continuous learning.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics tasks.
• Collaborate with data scientists and domain experts to understand business needs and translate them into ML solutions.
• Clean, preprocess, and engineer features from large, complex datasets.
• Evaluate model performance, identify areas for improvement, and implement necessary adjustments.
• Build and maintain robust data pipelines for model training and inference.
• Stay up-to-date with the latest advancements in machine learning and predictive modeling techniques.
• Implement ML models into production environments, ensuring scalability and reliability.
• Monitor and maintain deployed models, retraining as necessary.
• Communicate findings and model insights to both technical and non-technical stakeholders.
• Contribute to the development of best practices for machine learning development and deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Machine Learning Engineer or similar role, with a focus on predictive modeling.
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
• Solid understanding of various machine learning algorithms (regression, classification, clustering, time series analysis).
• Experience with SQL and database management.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is desirable.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Opportunities for professional growth and development.
• Hybrid work model offering flexibility.
• Access to cutting-edge technology and challenging projects.
• Retirement savings plan.
• Team-building activities.
• Employee discounts.