Job description
ESSENTIAL SKILLS:
- Proficiency in Python for data science and production code development.
- Strong experience with classical machine learning algorithms and applied AI techniques.
- Practical experience building and training deep learning models using TensorFlow.
- Familiarity with MLOps practices for deploying and managing models in production.
- Experience with data engineering tasks: ETL, preprocessing, feature engineering and visualization.
- Strong analytical and problem-solving capabilities with attention to performance, efficiency and scalability.
- Experience engaging with stakeholders and translating business needs into technical solutions.
ADVANTAGEOUS SKILLS:
- Hands-on experience with cloud platforms such as AWS and Azure.
- Experience with ML frameworks beyond TensorFlow (e.g., PyTorch, Keras, scikit-learn)
ROLE & RESPONSIBILITIES:
- Research, design and implement deep learning and machine learning models to meet business needs.
- Understand stakeholder requirements and translate them into ML solutions.
- Write Python code and contribute to reusable machine learning pipelines.
- Work closely with international teams of data scientists, ML and software engineers to deliver solutions.
- Provide support for low-code/no-code solutions to enable business users where applicable.
- Stay up to date with advances in data science and implement best practices across projects.
QUALIFICATIONS/EXPERIENCE:
- Minimum Masters Degree in Data Science, Computer Science, Statistics, Engineering or a related field with strong mathematical foundations.
- 3–5 years of hands-on experience in data science, machine learning and applied AI.
Submit your CV to: recruitment@imizizi.co.za and Subject line Role title