ML Engineer

at  Neurons Lab

EXPERIENCE

• 1-2 years of development with LLMs
• 3-5+ years of machine learning development overall

• Proficient in machine learning and natural language processing techniques, with a focus on Large Language Models (LLMs) like OpenAI’s GPT series.
• Experience with embedding models and vector database search technologies (Chroma, Elasticsearch) for efficient information retrieval and analysis.
• Skilled in prompt engineering and tuning for various LLMs, including OpenAI models and Gemini, to optimize model responses for specific tasks.
• Familiarity with agent building tools (e.g., Langchain) for creating AI agents capable of synthesizing and interacting with information.
• Experience in designing and managing data ingestion pipelines using tools like Apache Airflow for streamlined data collection and processing.
• Programming skills in Python, with the ability to utilize relevant AI and machine learning libraries effectively for project needs.
• Optional knowledge of TensorFlow, PyTorch, and understanding of Transformers for model fine-tuning is advantageous but not essential.