NLP and LLM Engineer

BigBear.ai is seeking a LLM Engineer. You will be responsible for designing, developing, and optimizing large language models. You will work with some of the most advanced models and frameworks in the industry, including LLAMA, Jan, GPT-4, WizardLM, Gemini, and Mixtral. Your expertise in NLP methods and algorithms will drive the creation of robust and scalable AI solutions.

• Develop and optimize large language models (LLMs) for various applications.

• 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.

• Implement and refine NLP algorithms to improve model performance and accuracy.

• Document and present technical solutions and methodologies to stakeholders

• Design and perform experiments to validate the effectiveness of proposed solutions.

• Analyze and enhance the efficiency, scalability, and reliability of current models and systems.

• Bachelor's,Master's, or Ph.D. in Computer Science, Electrical Engineering, Computational Social Science, or a related field.

• 0-5 years experience.

• 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.

• 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.

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.

BigBear.ai is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation gender identity, national origin, disability or veteran status, age or any other federally protected class.