ML/LLM Engineer
Description For ML/LLM Engineer
We are seeking an experienced ML/LLM Engineer to join our team in the Insurance, Reinsurance, and Financial Services sector. This is a remote position open to candidates from Romania, Slovakia, Czechia, Albania, and Lithuania. The role focuses on designing and implementing cutting-edge machine learning and large language model solutions.
As our ML/LLM Engineer, you'll be at the forefront of AI technology, working with modern frameworks and tools like PyTorch, TensorFlow, and LangChain. You'll be responsible for building scalable ML systems, optimizing model performance, and ensuring AI safety compliance. This position combines technical expertise in machine learning with practical application in the financial services domain.
The ideal candidate brings 5+ years of ML/AI engineering experience and deep knowledge of modern AI tools and frameworks. You'll work with state-of-the-art technologies including LangChain, HuggingFace Transformers, and various vector databases. Your role will be crucial in developing AI solutions that drive innovation in our financial services offerings.
This is an excellent opportunity for a senior ML engineer looking to work on impactful projects in a remote-first environment. You'll be part of a collaborative team, contributing to both technical implementation and knowledge sharing. The position offers the chance to work with cutting-edge AI technologies while solving real-world problems in the financial sector.
Responsibilities For ML/LLM Engineer
- Design, train, and deploy ML and LLM models using modern frameworks
- Implement scalable data pipelines and model monitoring systems
- Collaborate on prompt engineering, token optimization, and semantic search
- Ensure model fairness, transparency, and compliance with AI safety standards
- Contribute to technical documentation and internal knowledge sharing
Requirements For ML/LLM Engineer
- Minimum 5 years of experience in ML/AI engineering
- Strong proficiency in Python, PyTorch, TensorFlow
- Experience with LangChain, LangGraph, HuggingFace Transformers
- Knowledge of OpenAI, Anthropic Claude, VertexAI
- Experience with Vector databases (ChromaDB, MilvusDB, PGVector)
- Familiarity with MLOps tools (Prefect, Flyte, Kubernetes)
- Experience with NLP and Computer Vision techniques
- Experience with Cloud platforms (AWS, Azure)
- Experience with CI/CD, testing, and monitoring best practices
- Familiarity with Agile delivery and cross-functional collaboration
