AI Engineer
Tasks
- Design and develop machine learning proofs of concept
- Develop deep learning proofs of concept
- Document processes and results
- Evaluate proof of concept performance
- Identify business needs and AI opportunities
- Identify high value use cases and develop MVPs
- Integrate AI solutions into existing systems
- Iterate solutions based on stakeholder feedback
- Mentor junior team members
- Optimize and fine-tune machine learning models
- Stay current with AI trends and apply best practices
- Test and validate MVP reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Spark | Deep learning | Google Cloud | Hadoop | Java | Keras | Langchain | Language Models | Large Language Models | Machine Learning | Matplotlib | Microsoft Azure | NumPy | Pandas | PyTorch | Python | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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