Machine Learning Engineer (4+ yrs)

Listed as a remote role based in Bandon, County Cork, Ireland. We are seeking an experienced Machine Learning Engineer to join our team and drive the development of production-grade AI systems. This role requires deep expertise in Retrieval-Augmented Generation (RAG), natural language to SQL conversion, and large language model fine-tuning. You will be responsible for building, deploying, and maintaining sophisticated ML systems that power our products. Key Responsibilities Design and implement production-ready RAG pipelines for knowledge-intensive applications Build and optimize text-to-SQL engines that translate natural language queries into executable SQL code Develop, train, and fine-tune smaller language models for specific domain applications Fine-tune large language models (LLMs) using various techniques including supervised fine-tuning, RLHF, and parameter-efficient methods Deploy and maintain ML models in production environments with monitoring, versioning, and continuous improvement Optimize model performance, latency, and cost for real-world applications Collaborate with cross-functional teams to integrate ML capabilities into products Establish best practices for ML ops, model evaluation, and deployment pipelines Stay current with latest developments in LLMs, RAG architectures, and ML tooling Experience Required Qualifications 4–5 years of hands-on experience in machine learning engineering Proven track record of building and deploying ML systems in production environments Experience with the full ML lifecycle from data preparation to production deployment Technical Skills RAG & Information Retrieval Deep understanding of RAG architecture and implementation Experience with vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.) Knowledge of embedding models and semantic search techniques Experience with chunking strategies, retrieval optimization, and context management Text-to-SQL Systems Strong experience building natural language to SQL conversion systems Understanding of database schemas, query optimization, and SQL dialects Experience with few-shot prompting and query validation techniques LLM Development & Fine-tuning Hands-on experience fine-tuning LLMs (GPT, Llama, Mistral, etc.) Knowledge of fine-tuning techniques: full fine-tuning, LoRA, QLoRA, prefix tuning Experience training smaller language models from scratch or adapting existing ones Understanding of model quantization, distillation, and compression techniques Production ML Systems Strong software engineering skills with production-level code quality Experience with ML ops tools and practices (MLflow, Weights & Biases, etc.) Knowledge of containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Experience with API development and deployment (FastAPI, Flask, etc.) Understanding of monitoring, logging, and debugging production ML systems Programming & Tools Expert-level Python programming Proficiency with PyTorch or TensorFlow Experience with Hugging Face Transformers, LangChain, or LlamaIndex Familiarity with SQL and database technologies Version control with Git and collaborative development workflows Additional Requirements Strong problem-solving and analytical skills Excellent communication skills and ability to explain complex technical concepts Experience working in agile development environments Bachelor's or Master's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience) Preferred Qualifications Experience with prompt engineering and advanced prompting techniques Knowledge of reinforcement learning from human feedback (RLHF) Familiarity with evaluation frameworks for LLM applications Experience with data annotation and synthetic data generation Publications or contributions to open-source ML projects Experience with A/B testing and experimentation in production Understanding of model safety, bias mitigation, and responsible AI practices Show more Show less Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet