AI Engineer
Tasks
- Collaborate on software development
- Deploy AI models at scale
- Design solutions with architectural components
- Develop AI pipelines
- Experiment and fine-tune models
- Gather client requirements with stakeholders
- Implement MLOps and model lifecycle
- Incorporate AI advancements into solutions
- Optimize model performance and accuracy
- Train test deploy machine learning models
Perks/Benefits
- Employee assistance programme
- Generous annual leave
- Income protection
- Laptop
- Life assurance
- Pension scheme
- Private medical cover
- Remote work
- Work from home
Skills/Tech-stack
AWS | Automated testing | Azure | CI/CD | Computer Vision | Continuous Deployment | Continuous integration | Data Preprocessing | Deep learning | Distributed Computing | Feature Engineering | Google Cloud | Hadoop | Language Processing | MLOps | Machine Learning | Model Evaluation | Model Validation | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Scikit-learn | Spark | Supervised Learning | TensorFlow | Unsupervised Learning | Version control
Education
Roles
AI | AI Engineer | Engineer
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