AI/ML – Gen AI

Job Title : AI/ML – Gen AIExp : 9-10 yrsLocation : Bangalore, Chennai, Hyderabad, Noida, Pune, Trivandrum

About The Role

We are seeking a hands-on, highly experienced AI engineer with deep expertise in LLMs,Retrieval-Augmented Generation (RAG), fine-tuning, and applied machine learning.You will help build next-generation investor relations and public relations tools powered byAI, including intelligent assistants, content generation, semantic search, and predictiveanalytics.Machine Learning + Deep Learning + Generative AIKey Responsibilities Design and implement RAG pipelines that combine proprietary data (e.g., pressreleases, earnings transcripts) with LLMs to generate accurate, secure outputs. Fine-tune open-source LLMs (e.g., LLaMA 2/3, Mistral, Mixtral) using instruction orLoRA-based methods for specific use cases such as branded content generation orquestion-answering. Build and optimize embeddings, Vector search algorithms proficenecy e.g. HNSW,FAISS, IVFFlat and Microsoft -> Semantic Kernel and semantic retrieval systemsusing tools like sentence-transformers, FAISS, Weaviate, or Pinecone. Collaborate with product and content teams to implement intelligent Q&A, pressrelease graders, interview prep tools, and performance analysis assistants. Develop traditional ML models for anomaly detection, time-series forecasting, andengagement optimization (Prophet, XGBoost, scikit-learn, Chronos, ARIMA,Microsoft -> Semantic Kernel etc.). Integrate multimodal components such as TTS (e.g., ElevenLabs), imagerecommendation, and social publishing automation. Deep Learning in Neural Networks. Hands on experience in Tensorflow, Pytorch. Ensure secure and scalable deployment of AI systems (on cloud AWS, AWSBedrock, AWS SegemakerAzure OpenAI, or in-house GPU infrastructure).

Qualifications

 5+ years of hands-on experience in ML/AI engineering or applied data science Proven experience with LLMs (GPT-4, Claude, LLaMA, Mistral, etc.) and RAGarchitectures Strong coding skills in Python and experience with LangChain, Hugging FaceTransformers, OpenAI API, PEFT/LoRA. Experience fine-tuning LLMs using open-source frameworks and adapting modelswith domain-specific data Deep understanding of NLP, search, and vector-based retrieval systems Experience with time-series modeling, anomaly detection, or ML classificationtasks Familiarity with DevOps or MLOps tooling for deploying and monitoring LLM-poweredapplications Excellent communication skills and ability to work cross-functionally with product,content, and engineering teams

Preferred

 Experience in financial, PR, or media domains Familiarity with embedding alignment, model evaluation, and promptengineering Comfortable working with both cloud APIs (e.g., OpenAI, Azure, Anthropic) andopen-source LLMs

Good To Have

Postgressql vector db for embeddings, azure open ai services and c# .net 9 framework forbuilding all business logic and services for our enterprise applications.