- Design and deploy scalable, enterprise-grade AI architectures
- Transform innovative concepts into production-ready solutions
- Guide clients through their AI adoption strategy
- Pioneer new approaches in GenAI implementation
- Optimize models and implement prompt engineering
- Curiosity and enthusiasm about Generative AI
- Hands-on with a rapid learner mindset
- Familiarity with AWS, GCP, or Azure (certifications appreciated, but not a deal breaker)
- Coding skills in Python or other programming languages
Nice to have:
- Enterprise AI/GenAI implementations, side projects or hackathon
- Personal AI learning journey
- Hands on experience in at least one of the following areas:
* ML/DL frameworks (such as PyTorch, TensorFlow, Hugging Face)
* Generative models implementation (like GPT, DALL-E, Stable Diffusion)
* MLOps and model deployment
* Prompt engineering and optimization
* Model fine-tuning and customization
TBD