
AI/ML – Gen AI
1 day ago
Job Title : AI/ML – Gen AI
Exp : 9-10 yrs
Location : 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 by
AI, including intelligent assistants, content generation, semantic search, and predictive
analytics.
Machine Learning + Deep Learning + Generative AI
Key Responsibilities
Design and implement RAG pipelines that combine proprietary data (e.g., press
releases, earnings transcripts) with LLMs to generate accurate, secure outputs.
Fine-tune open-source LLMs (e.g., LLaMA 2/3, Mistral, Mixtral) using instruction or
LoRA-based methods for specific use cases such as branded content generation or
question-answering.
Build and optimize embeddings, Vector search algorithms proficenecy e.g. HNSW,
FAISS, IVFFlat and Microsoft -> Semantic Kernel and semantic retrieval systems
using tools like sentence-transformers, FAISS, Weaviate, or Pinecone.
Collaborate with product and content teams to implement intelligent Q&A, press
release graders, interview prep tools, and performance analysis assistants.
Develop traditional ML models for anomaly detection, time-series forecasting, and
engagement optimization (Prophet, XGBoost, scikit-learn, Chronos, ARIMA,
Microsoft -> Semantic Kernel etc.).
Integrate multimodal components such as TTS (e.g., ElevenLabs), image
recommendation, 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, AWS
Bedrock, 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 RAG
architectures
Strong coding skills in Python and experience with LangChain, Hugging Face
Transformers, OpenAI API, PEFT/LoRA.
Experience fine-tuning LLMs using open-source frameworks and adapting models
with domain-specific data
Deep understanding of NLP, search, and vector-based retrieval systems
Experience with time-series modeling, anomaly detection, or ML classification
tasks
Familiarity with DevOps or MLOps tooling for deploying and monitoring LLM-powered
applications
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 prompt
engineering
Comfortable working with both cloud APIs (e.g., OpenAI, Azure, Anthropic) and
open-source LLMs
Good To Have
Postgressql vector db for embeddings, azure open ai services and c# .net 9 framework for
building all business logic and services for our enterprise applications.
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