Machine Learning Engineer (Remote)

Quik Hire Staffing; South Africa; Remote; ZAR 1,469,000 - 2,285,000; Full time

Job summary

Quik Hire Staffing is seeking a Machine Learning Engineer for a full-time remote role. You will design, develop, and deploy ML models to solve business challenges, collaborating with data scientists and software engineers to integrate AI solutions into existing systems.

The role requires expertise in Python, ML frameworks, and cloud platforms, with a focus on scalable solutions and model performance optimization. Candidates should be able to work independently in a fast-paced environment.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
• Strong background in data structures, algorithms, and statistical modeling.
• Experience with cloud platforms for model deployment and scaling.
• Knowledge of SQL and databases for data extraction and preprocessing tasks.

Responsibilities

• Design and implement ML models using Python and frameworks like TensorFlow or PyTorch.
• Collaborate with data scientists and engineers to deploy models into production.
• Optimize and fine-tune models for scalability and accuracy.
• Develop and maintain data preprocessing, feature engineering, and training pipelines.
• Conduct experiments to evaluate model performance and iterate improvements.

Skills

Python

TensorFlow

PyTorch

Cloud platforms

SQL

Git

MLOps

Hyperparameter tuning

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Azure

Git

SQL

Job description

• Location: Remote (Work from Anywhere)

Role Overview

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-Time basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.

Key Responsibilities

• Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.
• Collaborate with data scientists and software engineers to deploy models into production environments.
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Required Skills & Qualifications

• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong background in data structures, algorithms, and statistical modeling techniques.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
• Knowledge of SQL and databases for data extraction and preprocessing tasks.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Understanding of MLOps practices for model monitoring, logging, and continuous integration.
• Experience with hyperparameter tuning and model optimization techniques.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

More About the Opportunity

This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.

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.