LLM Engineer

Key Skills

Aartificial intelligence, Analytical and Problem solving, AWS, Azure, Effective communication skills, Git, Google Cloud Platform (GCP), GPT, LangChain, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

What you will do

• Develop and optimize large language models (LLMs) for various applications. · Work with advanced open source LLM frameworks, including Lemur, LLAMA, Jan, GPT-4, WizardLM, Gemini, and Mixtral.
• Implement and refine NLP algorithms to improve model performance and accuracy.
• Collaborate with cross-functional teams to integrate LLM solutions into production systems.
• Work at the intersection of vector databases and Large Language Models.
• Conduct research and stay up-to-date with the latest advancements in LLMs and NLP.
• Analyze and enhance the efficiency, scalability, and reliability of current models and systems.
• Design and perform experiments to validate the effectiveness of proposed solutions.
• Document and present technical solutions and methodologies to stakeholders.

What you need to have

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Computational Social Science, or a related field.
• Proven experience with large language models, particularly Lemur, LLAMA, Jan, GPT-4, WizardLM, Gemini, and Mixtral.
• Strong proficiency in general NLP methods and algorithms with a focus on Transformer Attention based approaches.
• Extensive experience with deep learning frameworks and tools.
• Proficiency in programming languages such as Python, and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, Langchain, Vector Databases like Chroma or Milvus, Transformers, Huggingface).
• Rigorous understanding of foundational statistical principles relevant to AI and machine learning.
• Experience in developing and optimizing NLP applications (discerning model and use case fit).
• Strong problem-solving skills and the ability to work independently and in a team.
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

What we'd like you to have

• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models.
• Experience with data annotation and finetuning of LLMs for domain specific tasking.
• Knowledge of software development best practices, including version control (e.g., Git), unit testing, and continuous integration.
• Projects focused on metrics driven development for deep learning models and/or projects focused on multi agent modeling.
• Publications or contributions to conferences/journals in the field of AI/ML and NLP.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on BigBear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in Columbia, Maryland, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.