Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stackThe ideal candidate will have a strong background in AI/ML with a focus on Generative AI (GenAI)Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or JavaAbility to build API based scalable solutions and debug & troubleshoot software or design issuesHands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISSAbility to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into marketBasic data engineering skills to load structured & unstructured data from source systems to target data storesWork closely with Gen AI leads and other team members to address requirements from the product backlogBuild and maintain data pipelines and infrastructure to support AI SolutionsDesirable: Hands on exposure to using cloud (Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters/Bachelors degree in Computer Science or Statistics or Mathematics.
Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack
The ideal candidate will have a strong background in AI/ML with a focus on Generative AI (GenAI)
Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java
Ability to build API based scalable solutions and debug & troubleshoot software or design issues
Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.
Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS
Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market
Basic data engineering skills to load structured & unstructured data from source systems to target data stores
Work closely with Gen AI leads and other team members to address requirements from the product backlog
Build and maintain data pipelines and infrastructure to support AI Solutions
Desirable: Hands on exposure to using cloud (Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters/Bachelors degree in Computer Science or Statistics or Mathematics.
