Area(s) of responsibility

•    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
•    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