Gen AI Architect

Gen AI Architect Experience with generative AI technologies and large language models (e.g., GPT, LLaMA).Familiarity with prompt engineering and fine-tuning techniques. Strong programming skills in Python; knowledge of relevant libraries (e.g., TensorFlow, PyTorch).Knowledge of testing and benchmarking LLM models. Understanding of data processing and extraction methods.Experience with cloud-based AI services (e.g., Azure, AWS).Background in natural language processing (NLP).Python or R language experience is a must Generative AI, RAG and Lang chain experience is a must

Ability to learn new AI/ML tools and use them effectively Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Demonstrated experience data retrieval from various SDLC systems and analytic reporting databases. Familiarity with databases and database query languages such as MySQL, Access, and SQL. Experience with Python and other programming languages. Ability to interface effectively with client and work constructively on a team. Excellent verbal and written communications skills. Experience with cloud computing environments and data science tools such as AWS, SageMaker, GCP and Databricks. Experience with NLP algorithms such as LSA, LDA, and QNLI. Experience with JIRA, Confluence, and GitHub. Knowledge of software engineering and structured software development. Demonstrated ability performing statistical data analysis. 3 must havesPython 4/5Generative AI 4/5Azuare 3/5