- Analyse large datasets to extract meaningful insights and patterns that can inform AI model development.
- Develop and implement machine learning algorithms neural networks and other AI techniques.
- Train and validate AI models using diverse datasets to ensure robustness and generalizability.
- Collaborate with data engineers to preprocess and clean data for AI models.
- Create and maintain documentation for AI models algorithms and workflows.
- Conduct experiments to test and compare the effectiveness of different AI approaches.
- Troubleshooting and resolving issues related to AI systems.
- Present findings and recommendations to stakeholders including technical and non-technical audiences.
- Research and stay updated on the latest AI and machine learning technology advancements.
Requirements
- Bachelors degree in Computer Science Data Science Artificial Intelligence or a related field.
- 2 years of experience as an AI Specialist Data Scientist Machine Learning Engineer or similar role in AI development.
- Strong understanding of artificial intelligence machine learning algorithms neural networks and deep learning techniques.
- Proficiency in programming languages such as Python R or Java.
- Strong knowledge of AI frameworks and libraries (TensorFlow PyTorch Peras).
- Knowledge of cloud platforms for AI deployment (AWS Azure Google Cloud).
- Familiarity with big data technologies and tools (e.g. Hadoop Spark).
- Excellent problem-solving and analytical skills with the ability to work with complex datasets.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
Required Skills:
Python R or Java. Strong knowledge of AI frameworks and libraries (TensorFlow PyTorch Peras). Knowledge of cloud platforms for AI deployment (AWS Azure Google Cloud). Familiarity with big data technologies and tools (e.g. Hadoop Spark).
Required Education:
A relevant IT degree or higher
Analyse large datasets to extract meaningful insights and patterns that can inform AI model development.Develop and implement machine learning algorithms neural networks and other AI techniques.Train and validate AI models using diverse datasets to ensure robustness and generalizability.Collaborate ...
- Analyse large datasets to extract meaningful insights and patterns that can inform AI model development.
- Develop and implement machine learning algorithms neural networks and other AI techniques.
- Train and validate AI models using diverse datasets to ensure robustness and generalizability.
- Collaborate with data engineers to preprocess and clean data for AI models.
- Create and maintain documentation for AI models algorithms and workflows.
- Conduct experiments to test and compare the effectiveness of different AI approaches.
- Troubleshooting and resolving issues related to AI systems.
- Present findings and recommendations to stakeholders including technical and non-technical audiences.
- Research and stay updated on the latest AI and machine learning technology advancements.
Requirements
- Bachelors degree in Computer Science Data Science Artificial Intelligence or a related field.
- 2 years of experience as an AI Specialist Data Scientist Machine Learning Engineer or similar role in AI development.
- Strong understanding of artificial intelligence machine learning algorithms neural networks and deep learning techniques.
- Proficiency in programming languages such as Python R or Java.
- Strong knowledge of AI frameworks and libraries (TensorFlow PyTorch Peras).
- Knowledge of cloud platforms for AI deployment (AWS Azure Google Cloud).
- Familiarity with big data technologies and tools (e.g. Hadoop Spark).
- Excellent problem-solving and analytical skills with the ability to work with complex datasets.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
Required Skills:
Python R or Java. Strong knowledge of AI frameworks and libraries (TensorFlow PyTorch Peras). Knowledge of cloud platforms for AI deployment (AWS Azure Google Cloud). Familiarity with big data technologies and tools (e.g. Hadoop Spark).
Required Education:
A relevant IT degree or higher
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