Microsoft azure

1. 7 years of experience in AIML, with at least 1.5 years focused on generative AI technologies.
2. Hands-on experience with large language models (e.g., GPT, BERT), image generation models (e.g., DALL-E, Stable Diffusion), or similar technologies.
3. Proven track record of deploying generative AI solutions in real-world applications.
   Skills:
4. Strong programming skills in Python, R, or similar languages.
5. Expertise in AIML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
6. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps practices.
7. Knowledge of prompt engineering, fine-tuning, and model evaluation techniques.
8. Strong problem-solving, analytical, and communication skills.

Certifications: (Optional)Certifications in AIML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).