As an LLM Data Scientist, you will be responsible for designing, developing, and deploying advanced NLP systems that leverage cutting-edge AI technologies. Your work will focus on areas like prompt engineering, agent-based AI, Retrieval-Augmented Generation (RAG), and optimizing large language models for performance and efficiency. You will also collaborate with cross-functional teams to tackle challenges related to AI ethics, safety, and risk mitigation.

Your role

• Design and implement next-generation agent-based AI systems utilizing large language models (LLMs).
• Conduct prompt engineering to optimize the interaction between AI models and tasks.
• Work on Retrieval-Augmented Generation (RAG) and information retrieval to enhance AI system capabilities.
• Perform comprehensive LLM evaluation, including alignment, safety, applicability, and knowledge assessments.
• Fine-tune and optimize LLMs using advanced techniques like LoRA and QLoRA to improve inference efficiency and performance.
• Collaborate with teams across disciplines to address ethical, safety, and risk-related issues surrounding AI deployment.

Offer

• Long-term freelance contract
• Solid market rates depending on seniority
• Access to top-notch projects

Requirements

• Prompt Engineering: Expertise in designing prompts to optimize AI task performance.
• AI Performance Analysis: Experience in evaluating and analyzing the performance of AI models.
• LLM Evaluation: Proficiency in evaluating LLMs for knowledge, alignment, safety, and overall applicability.
• Natural Language Understanding (NLU): Hands-on experience with NLU libraries and tools such as NLTK or models like GPT-3.
• LLM Inference Tuning: Skilled in optimizing LLM inference using techniques like LoRA or QLoRA for greater efficiency.
• LLM Fine-Tuning: Experience in fine-tuning large language models to improve specific task performance.
• Cloud Platforms: Proficiency in working with cloud services (Azure, GCP, AWS) for deploying and managing AI models.

Nice-to-Have Skills:

• GCP Toolset: Familiarity with Google Cloud tools like BigQuery, Dataflow, Dataproc, Vertex AI, and Pub/Sub for processing and analyzing large datasets.
• Advanced AI Research: Interest in staying updated with the latest advancements in AI, including ethical AI and responsible AI usage.