Area(s) of responsibility

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.