Senior Ai Engineer
ZAR 600K-720K (estimate) Senior-level Full Time
Tasks
- Build NLP content classification semantic analysis recommendation systems
- Build automated content workflows for summarisation and fact checking
- Build production ML models for recommendation and automation
- Conduct code reviews and architectural planning
- Create user profiling and behavioural analysis systems
- Design develop deploy scalable AI ML systems
- Design implement AI model serving APIs and microservices
- Develop newsroom AI tools for content creation and curation
- Develop personalisation algorithms for content targeting
- Develop tools for social media content generation
- Implement AI news aggregation deduplication and trend analysis
- Implement MLOps model monitoring versioning continuous deployment
- Implement real time content processing pipelines for tagging and matching
- Mentor junior engineers and share knowledge
- Optimize AI model performance latency resource utilization
- Run experiments with large language models transformers and generative AI
- Translate product requirements into technical AI solutions
- Write production Python code following best practices
Perks/Benefits
- Career growth opportunities
- Collaborative work environment
- Conference support
- Courses support
- Medical Aid Optional
- Professional development budget
- Retirement contributions
Skills/Tech-stack
AWS | AWS SageMaker | Automated testing | Azure | Azure ML | CI/CD | Datadog | Deep learning | Docker | Embeddings | Generative AI | Git | Google Cloud | Grafana | GraphQL | Kafka | Kinesis | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | NLP | Natural Language | Natural Language Processing | NoSQL | Prometheus | Pub/Sub | PyTorch | Python | REST API | SQL | Scikit-learn | Similarity Search | TensorFlow | Transformers | Vector Databases
Education
N/A
Roles
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