Job Description
At iOCO, we are driven by innovation and the power of intelligent technology. Were looking for a Mid-Level Machine Learning Engineer who will design, develop, and maintain scalable machine learning pipelines and models that bring data-driven solutions to life. Youll collaborate with senior engineers and data scientists to turn insights into impactful, production-ready systems.
What you’ll do:
- Build and maintain machine learning pipelines for model development, training, and deployment.
- Train, fine-tune, and validate ML models using structured and unstructured datasets.
- Collaborate with Senior Engineers and Data Scientists to integrate ML models into production environments.
- Conduct model evaluation and performance validation to ensure alignment with business objectives.
- Troubleshoot and resolve issues related to model accuracy, scalability, and performance.
- Document workflows, configurations, and processes to ensure transparency and reproducibility.
- Support the integration of ML models with existing software systems and APIs.
- Stay current with evolving ML tools, frameworks, and cloud technologies to continuously enhance performance and reliability.
Your Expertise:
- Minimum of 3 years experience as a Machine Learning Engineer.
- Proficiency with Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Experience with data pipelines, feature engineering, and model deployment.
- Strong understanding of ML lifecycle management and version control.
- Excellent analytical and problem-solving abilities.
- Ability to work collaboratively in a team-oriented, agile environment.
Qualifications:
- NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT), Information Systems, Computer Science, or a related field.
- Cloud certification (Azure, AWS, or Google Cloud) will be advantageous.
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