Mid-Level Ai Engineer
NGN 4800K-5700K (estimate) Mid-level Full Time
Tasks
- Automate workflows to streamline data flows and trigger AI processes
- Collect clean preprocess datasets with data engineers
- Deploy AI systems to production
- Design train evaluate fine tune AI ML models for production
- Develop automated data pipelines for training and inference
- Document model architecture training processes deployment guidelines
- Implement NLP computer vision recommender systems time series forecasting algorithms
- Integrate AI models into applications using APIs microservices
- Optimize models for performance scalability cost efficiency
- Prototype concepts using proof of concepts
- Stay current with AI research and apply to business use cases
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Airflow | Azure | Bias Mitigation | Cloud platform | Computer Vision | Data Visualization | Docker | Ethical AI | Git | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Kubeflow | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Matplotlib | Microservices | Model Interpretability | N8n | Natural Language | Natural Language Processing | Plotly | Prompt engineering | PyTorch | Python | Recommender Systems | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Zapier
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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