Data Science Specialist

About Birlasoft: At Birlasoft, we are a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. We are looking for an experienced technical lead to implement an enterprise-grade conversational AI interface leveraging technologies like NodeJS, Python, LangChain, Azure OpenAI, and Azure Cognitive Services. Responsibilities: - Implement conversational AI application using NodeJS, Azure OpenAI, and Python. - Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services (Cognitive Search, Indexes, Indexers, and APIs, etc.) to enable sophisticated natural language capabilities. - Implementation of private endpoints across the Azure services leveraged for the application. - Implement schemas, APIs, frameworks, and platforms to operationalize AI models and connect them to conversational interfaces. - Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis, etc. - Build and deploy the production application on Azure while meeting security, reliability, and compliance standards. - Create tools and systems for annotating training data, monitoring model performance, and continuously improving the application. - Mentor developers and provide training on conversational AI development best practices. - Build and productionize vector databases for the application on Azure cloud. Key Responsibilities: - 6-8 years of overall technology experience in core application development. - 2+ years of experience leading the development of AI apps and conversational interfaces. - Hands-on implementation-centric knowledge of generative AI tools on Azure cloud. - Deep, hands-on, and development proficiency in Python and NodeJS. - Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL). - Hands-on knowledge of Azure Form Recognizer tools. - Experience with LangChain, Azure OpenAI, and Azure Cognitive Search. - Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) using Python. - Vector databases on Azure cloud using PostgreSQL. - Pinecone, FAISS, Weaviate, or ChromaDB. - Prompt Engineering using LangChain or Llama Index. - Knowledge of NLP techniques like transformer networks, embeddings, intent recognition, etc. - Hands-on skills on Embedding and fine-tuning Azure OpenAI using MLOPS/LLMOPS pipelines. - Good to have - Strong communication, DevOps, and collaboration skills.,