AI/机器学习工程师（远程）

We’re hiring an AI / Machine Learning Engineer to join a fast-growing financial data & technology company building AI-powered products used by banks, fintechs, and trading platforms globally. This role sits at the intersection of machine learning, backend engineering, and real-time data systems, with a strong focus on production-grade AI. You’ll be building systems that turn real-time financial data into actionable insights, leveraging modern ML and LLM capabilities. Key responsibilities include research, design, and deployment of ML models across NLP, time-series forecasting, and event detection; building LLM-driven systems (summarization, RAG pipelines, embedding search); developing model serving APIs and scalable inference layers (Python / Go); implementing monitoring, drift detection, and retraining pipelines; and working with financial text to extract structured insights. Required experience includes 4+ years in AI/ML or data engineering with production deployments, a degree in Computer Science, strong Python and Go skills, experience with PyTorch, TensorFlow, or Hugging Face, and understanding of transformers, embeddings, or LLM fine-tuning.

4+ years in AI/ML or data engineering, with production deployments; Degree in Computer Science (or similar); Strong in Python (ML/data) and Go (backend/microservices); Experience with PyTorch, TensorFlow, or Hugging Face; Understanding of transformers, embeddings, or LLM fine-tuning; Strong grasp of data pipelines + ML lifecycle; Experience with AWS (EKS, S3, Lambda, EC2); Comfortable working in distributed / remote teams.

Harper Russo Talent Partner is a financial data and technology company building AI-powered products used by banks, fintechs, and trading platforms globally.