AI Systems Developer

4 days ago

Remote, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 28,00,000

Seeking a seasoned AI expert to spearhead the development of cutting-edge investor relations and public relations tools.

Machine learning, deep learning, and generative AI expertise is required for this role.

Key Responsibilities

  • Design and implement Retrieval-Augmented Generation (RAG) pipelines that integrate proprietary data with Large Language Models (LLMs).
  • Fine-tune open-source LLMs 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 proficiency, 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

  • 14+ 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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