Intermediate Machine Learning Engineer (Hybrid)

Sybrin; Johannesburg; On-site; ZAR 500 000 - 800 000; Full time

Job summary

A leading IT software development company in Johannesburg is looking for a Machine Learning Engineer responsible for developing and implementing machine learning solutions to enhance product offerings. The ideal candidate will hold a relevant degree and have 3-5 years of experience in machine learning, with strong skills in model development and deployment. This role includes designing algorithms, collaborating with teams, and staying updated with the latest technology trends.

Qualifications

• Minimum of 3-5 years’ experience.
• Understanding principles in ISO standards.

Responsibilities

• Design and develop machine learning models and algorithms.
• Perform data preprocessing and feature engineering.
• Evaluate model performance and tune hyperparameters.
• Collaborate with data scientists and stakeholders.
• Implement and deploy machine learning models into production.
• Conduct code reviews and ensure code quality.
• Debug and resolve issues related to machine learning models.
• Create and maintain technical documentation.
• Stay updated with ML advancements.

Skills

Machine Learning Frameworks

Data Labelling

Data Processing

Algorithms

Model Development

Model Deployment

APIs

Version Control Systems

Data Visualization

Cloud Platforms

Analytical thinking

Problem-solving

Effective communication

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, or related field

Tools

PyTorch

TensorFlow

Pandas

NumPy

SciPy

FastAPI

Docker

Git

DVC

Matplotlib

Seaborn

Plotly

PyCharm

VS Code

Job description

About Sybrin

Sybrin is a leading IT software development company specialising in innovative solutions tailored to meet the evolving needs of businesses across various sectors. Our mission is to empower businesses with cutting‑edge technology solutions that drive efficiency, enhance customer experiences, and facilitate growth. At Sybrin we pride ourselves on delivering high‑quality products and secure solutions, thanks in part to the combination of the ISO 9001 for Quality Management System and ISO/IEC 27001 for Information Security Management System certifications, and our commitment to data protection, demonstrated by our implementation of ISO/IEC 27701 Privacy Information Management System. As an employee of Sybrin, you will be expected to familiarise yourself with the contents of the Integrated Management System, as well as undergo periodic training to better understand your unique role in the security, quality, and privacy ecosystem within Sybrin, and uphold the principles in Sybrin’s Integrated Management System.

Role Overview

This role will be responsible for developing and implementing machine learning solutions that integrate seamlessly with the overarching product space being developed within the company. This involves designing, building, and deploying machine learning models and algorithms that address complex business problems and enhance the company's product offerings.

Qualifications and Experience

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 3‑5 years’ experience.

Reporting Line: Machine Learning Team Lead

Key Responsibilities

• Designing and developing machine learning models and algorithms.
• Performing data preprocessing, data analysis and feature engineering.
• Evaluating model performance and tuning hyperparameters for optimization.
• Collaborating with data scientists, software engineers, and stakeholders to define project requirements.
• Implementing and deploying machine learning models into production.
• Conducting code reviews to ensure code quality and best practices.
• Debugging and resolving issues related to machine learning models and data pipelines.
• Creating and maintaining technical documentation for machine learning projects.
• Staying updated with the latest advancements in machine learning and data science.

Critical Technical and Behavioural Skills Required

• Machine Learning Frameworks: Experience with frameworks such PyTorch, TensorFlow, TensorFlow Light, Oynx and Scikit-learn.
• Data Labelling: Generation of data sets, using data labelling tools such as Roboflow or CVat.
• Data Processing: Proficiency in using libraries such as Pandas, NumPy, and SciPy for data manipulation and analysis.
• Algorithms: Understanding of key machine learning and statistical algorithms including regression, classification, clustering and neural networks.
• Model Development: Experience in developing, training, and evaluating machine learning models.
• Model Deployment: Basic knowledge of deploying models using FastAPI and Docker.
• APIs: Understanding of creating RESTful APIs to integrate ML models into applications.
• Version Control Systems: Proficient in using Git and DVC for version control.
• Data Visualization: Skills in using libraries such as Matplotlib, Seaborn, and Plotly.
• Cloud Platforms: Some experience with the machine learning aspects of cloud services such as AWS, Google Cloud, or Azure.
• Additional Tools: Experience with a integrated development environments (IDEs) like PyCharm or VS Code.
• Analytical thinking
• Problem-solving
• Effective communication
• Working knowledge of the principles in ISO 9001:2015 (Quality Management System), ISO/IEC 27001:2022 (Information security, cybersecurity, and privacy management System), ISO/IEC 27701:2019 (Privacy Information Management System), POPIA, GDPR.