| Date | 2024-10-13 |
|---|---|
| Job Title | Ai/Ml Engineer |
| Employer | Datafin More Information |
| Salary | 0 |
| Category | It Computer |
| Location |
Gauteng / Johannesburg |
Job Summary
Johannesburg – Gauteng
- Develop, train, and deploy machine learning models to solve business problems in the agriculture sector.
- Design and implement AI-driven solutions to automate processes, enhance decision-making, and optimize operational efficiency.
- Collaborate with cross-functional teams (data scientists, engineers, analysts) to define AI/ML project objectives, requirements, and timelines.
- Preprocess and clean large datasets to ensure data quality before feeding them into machine learning pipelines.
- Implement and maintain scalable machine learning pipelines for production.
- Conduct model validation and testing to ensure robustness and accuracy.
- Monitor the performance of machine learning models in production environments, troubleshoot issues, and retrain models as necessary.
- Integrate models with cloud-based infrastructure and ensure the security, scalability, and efficiency of deployed solutions.
- Stay updated with the latest advancements in AI/ML technologies, tools, and frameworks.
- Create documentation and provide technical guidance to other team members on AI/ML best practices.
- Bachelors degree in Computer Science, Data Science, Engineering, or a related field. A Master`s degree or certifications in AI/ML is a plus.
- Proven experience as an AI/ML Engineer or similar role with at least 2-3 years of hands-on experience.
- Strong knowledge of machine learning algorithms and deep learning techniques (e.g., regression, classification, clustering, CNNs, RNNs).
- Proficiency in Python, with experience in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience working with cloud-based platforms (e.g., AWS, Azure, GCP) and model deployment services (e.g., SageMaker, Azure ML).
- Experience with data preprocessing, feature engineering, and model optimization techniques.
- Strong knowledge of version control systems (Git), CI/CD pipelines, and Docker/Kubernetes for deploying models in production environments.
- Familiarity with big data technologies such as Apache Spark and data pipeline tools (e.g., Airflow, Kafka) is advantageous.
- Understanding of MLOps practices and the end-to-end lifecycle of machine learning projects, from development to deployment and monitoring.
- Strong analytical and problem-solving skills.
- Ability to work in a fast-paced, collaborative environment.
- Enthusiasm for learning and adapting to new technologies.
- Excellent communication skills, both verbal and written.
Ai/Ml Engineer position available in Gauteng, Johannesburg. This job position was posted by Datafin. The job has been posted as a premium ad on 2024-10-13 at 16:09:23 in the It Computer category
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