Mid Data Science / AI Engineer
Core
Develop and deploy machine learning and AI solutions, including LLM-based systems and NLP applications, to build scalable AI-driven products for financial research.
Role type
Mid-level IC Data Science / AI Engineer
Builds
Scalable, production-grade AI systems and AI-driven products
Domain
Financial services + Machine Learning / NLP
Deliverable
production ML models
Required skills
Python, software engineering fundamentals, LLM and NLP, deep learning architectures, TensorFlow or Pytorch, SQL, NoSQL, Docker, object-oriented programming
Preferred skills
RAG pipelines, vector databases, LLM training or fine-tuning, cloud platforms (AWS, Google Cloud, Azure), Kaggle competitions
Technologies
Python, TensorFlow, Pytorch, SQL, NoSQL, Docker, AWS, Google Cloud, Azure
Responsibilities
Develop and deploy machine learning and AI solutions; Collaborate with senior engineers to build scalable and reliable AI-driven products; Work with LLM-based systems and modern NLP applications
Seniority
Mid-level, hands-on IC