GenAI Lead / Architect

**Job Description:** **Role Overview:** At Gramener, you will have the opportunity to work in an inviting workplace alongside talented colleagues from diverse backgrounds. You will play a crucial role in helping clients solve real-world problems by tracing the data-to-insights lifecycle. Your main focus will be on understanding business problems, exploring the data landscape, and developing innovative solutions using textual data while maintaining a consultative approach with client stakeholders. **Key Responsibilities:** - Understanding business problems and data landscape - Performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data - Creating, experimenting with, and delivering innovative solutions to client stakeholders using textual data **Qualifications Required:** - Background in Computer Science/Computer Applications or any quantitative discipline from a reputed institute - Total 7+ years of experience using analytical tools/languages like Python on large-scale data - Must have Semantic model & NER experience - Strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, and GPT (or similar models), Open CV - Exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering - Experience using Azure services for ML & GenAI projects is a plus - Demonstrated ability to engage with client stakeholders - Coding skills in one or more programming languages such as Python, SQL - Hands-on experience with popular ML frameworks such as TensorFlow - Expert/high level of understanding of language semantic concepts & data standardization,