1. Proficiency in Python and frameworks like OpenAI, TensorFlow, Pytorch ..etc
2. Proficiency with large-scale AI integration in business workflows. - RESTful APIs, Webhooks handling
3. Experience in building and deploying GenAI solutions using cloud platforms (Azure, AWS, GCP)
4. Multi-Cloud Hybrid Architecture: Proven experience managing solutions across cloud ecosystems
5. Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA), diffusion models, and transformer architectures.
6. Robust understanding of prompt engineering, fine-tuning, and model evaluation techniques.
7. Genesys CTI
Good-to-Have
• AI ML related certifications
• Conduct research and stay up to date with the latest advancements in generative AI
• Prompt Engineering & Tuning
• Data preprocessing, augmentation, and synthetic data generation
• MLflow, Weights & Biases, Kubeflow
• Problem-solving attitude with a forward-thinking approach.