AI Engineer (Graduate)
Tasks
- Build machine learning models
- Build proof-of-concepts
- Collaborate with domain experts
- Collect, clean, and transform datasets
- Conduct workshops and demos
- Deploy models to cloud platforms
- Design AI solutions and model architecture
- Develop reusable AI components
- Document data preprocessing logic
- Evaluate and optimize models
- Experiment with generative AI workflows
- Fine-tune model performance
- Integrate AI models into applications and APIs
- Monitor model performance post-deployment
- Perform UAT with stakeholders
- Perform exploratory data analysis
- Validate models and run scenario testing
Perks/Benefits
Skills/Tech-stack
AWS | Cloud platform | Data Analysis | Data Preprocessing | Docker | Embeddings | Exploratory Data Analysis | Feature Engineering | Generative AI | Git | Google Cloud | Google Cloud Platform | Huggingface | Machine Learning | Microsoft Azure | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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