- Architect, implement, and optimize generative AI models for applications such as text and image generation, document extraction, and synthetic data creation.

- Apply advanced prompt engineering techniques and keep abreast of the latest AI/ML research and generative AI innovations.

- Develop, fine-tune, and benchmark generative AI models for performance, scalability, and business objectives, comparing outputs across models for quality evaluation.

- Apply data science principles, including statistical analysis, data preprocessing, and machine learning techniques, to enhance model accuracy and efficiency.

- Collaborate with data engineers, software developers, and product managers to integrate AI models into enterprise products and services.

- Ensure AI models are designed and deployed ethically, adhering to industry standards, compliance, and regulatory requirements.

Minimum Qualifications / Skills :

- Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field.

- 5+ years of experience in AI/ML, with a focus on generative AI models.

- Strong hands-on experience in Python and AI frameworks such as TensorFlow, PyTorch.

- Proficiency with Azure OpenAI, Open Source LLMs, LangChain, and other generative AI development tools.

- Solid experience in data science principles, including statistical analysis, feature engineering, and machine learning.

Preferred Qualifications / Skills :

- Familiarity with Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning.

- Knowledge of NLP and computer vision for generative AI applications.

- Experience with AI pipelines and automation tools such as Semantic Kernel, Autogen, or Agentic AI.

- Strong analytical and problem-solving skills with a focus on scalable, production-grade AI solutions