Required skills

• Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques.
• Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning
• Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications.
• Familiarity with Gen AI application design and architecture
• Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics)
• In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions.
• Expertise in handling large multi-modal datasets and applying data preprocessing techniques to ensure data quality and relevance.
• Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes
• Strong knowledge of programming languages like Python and SQL
• Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS
• Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.)
• Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI)
• Experience with frameworks such as TensorFlow, PyTorch and Keras
• Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes

Preferred skills

• 
  Certification in Cloud (AWS/ Azure / GCP)
• Certification in AI/ML or Data Analytics