Title:  Technical Lead-App Development

Area(s) of responsibility

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, 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, etc.).
• Integrate multimodal components such as TTS (e.g., ElevenLabs), image recommendation, and social publishing automation.
• Ensure secure and scalable deployment of AI systems (on cloud, Azure 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