We're building an AI-native financial operations platform. As an ML/LLM Engineer, you'll design, fine-tune, and deploy models that automate complex financial workflows-payouts, reconciliations, compliance checks, and forecasting-while keeping humans in the loop for accuracy and trust.Responsibilities:Fine-tune and optimize foundation models (e.g., LLaMA, FinBERT) for financial text and transaction data.Build retrieval-augmented generation (RAG) pipelines with Hugging Face, LangChain, and vector databases.Implement human-in-the-loop systems to continuously validate, improve, and govern AI outputs.Deploy and monitor ML models in production with a focus on scalability, latency, and compliance.Collaborate with product and finance experts to translate real-world workflows into AI agents.Key Requirements:Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling.Experience working with financial or structured transactional data.Knowledge of data privacy and regulatory requirements in fintech (SOC2, PCI-DSS, GDPR).Ability to thrive in a fast-moving startup environment.Desirables:Background in fintech, payments, or treasury systems.Experience with reinforcement learning with human feedback (RLHF).Please get in touch with daniel@microtech-global.com to hear more about this incredible position
