Generative AI

Technical Skills

Bachelors or Masters Degree

Proven experience as an Enterprise Architect Solution Architect or a similar role with a focus on AI/ML and generative AI.

Strong understanding of generative AI techniques including deep generative models autoregressive models and reinforcement learning for generative tasks.

Handson experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics ML and Deep Learning frameworks and libraries (TensorFlow PyTorch Keras) and ML techniques.

• At least 5 years of handson experience with building language models machine learning and AI models leveraging industry tools products and / or Azure cognitive services.
• Deep and handson expertise in (as an individual contributor) Undertaking data collection Data mining preprocessing and analysis of structured and unstructured data.
• Handson expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few and zeroshot settings by generating intermediate chain of thought (CoT) reasoning steps
• Experience of building / customizing and finetuning AI models including LLM models via OpenAI (Azure) Bert (AWS) for rapid PoCs
• Experience on LLM Model Governance LLMSecOps Hallucination and bias handling
• Deep and handson experience in applying machine learning algorithms.
• Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services Azure Machine Learning and AWS Sagemaker and Bedrocks
• Strong understanding of Azure cloud technology including Cognitive Services viz. Vision Speech Language Decision Search and GenAI and its implementation