GenAI Developer

Job Description:

Experience in a customer facing role or in a role requiring close collaboration with clients.

Extensive hands on RAG architecture (Embedding, Chunkit, Vectorization, Orchestration using LangChain/ Autogeny).

Able to fine tune open source models, perform prompt engineering / templating / building libraries.

Familiarity with ChatGPT LLM, Databricks, Gemini, ML Flow, Driver H20, and Azure cloud ecosystem.

Strong expertise in generative AI techniques, such as GANs, VAEs, and Transformer models.

Proficiency in popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch  and scikit learn.

Experience in designing, developing, and implementing end to end AI solutions for real world applications.

Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders.

Strong decision making and problem  solving abilities, with a focus on pragmatic and efficient solutions.

Experience in consulting, with a proven track record of providing actionable advice and guidance to customers