Machine Learning Engineer (RAG - Open Source LLM)
About this position
We urgently seek a Machine Learning Engineer with expertise in retrieval-augmented generation (RAG) techniques. This role involves implementing a knowledge management system and supporting the company's inspection services.
Responsibilities
• RAG Development: Enhance LLM performance with RAG methods.
• Knowledge Management: Develop and maintain a knowledge management system.
• Inspection Support: Provide ML-based support for inspection services.
• Data Engineering: Manage and preprocess datasets; develop pipelines.
• Model Training: Train and optimize LLMs.
• Data Security: Implement data security practices.
• Research: Stay updated on NLP advancements.
• Collaboration: Work with teams and communicate technical concepts.
• Testing: Develop and execute testing protocols.
Requirements
• Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field; a Ph.D. is a plus.
• Experience: Proven experience in ML, NLP, data engineering, LLMs (e.g., GPT, BERT, T5), and data security. RAG experience is essential.
• Technical Skills: Proficient in Python, ML libraries (TensorFlow, PyTorch), and data management tools (SQL, NoSQL, Hadoop).
• Soft Skills: Strong problem-solving, communication, teamwork, and multitasking abilities.
• Preferred:
• Experience deploying ML models.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure).
• Knowledge of version control systems (Git).