Freelance AI Engineer – LLM Develope

Qualifications

• 5+ years of experience in production-level deep learning

• 1+ years of hands-on experience with large language models

• Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent research experience

• Deep understanding of machine learning concepts, such as parameter-efficient tuning, and best practices

• Proven experience training and fine-tuning large language models

• Strong ability to translate research into practical product features

• Hands-on experience with NVIDIA Docker

• Proven experience working with raw, real-world, unstructured text data beyond academic or benchmark datasets

• Experience building no-code or low-code ML tools

• Background in writing academic papers or publications in LLMs, NLP, or continual learning

• Experience performing instruction tuning on domain-specific or noisy real-world data (“in the wild”)

Responsibilities

• Build continual learning pipelines for large language models

• Create workflows for automatic instruction tuning on user data

• Apply existing research to practical no-code tools

• Work with product and research teams to turn complex ideas into simple, usable features

• Keep models high-performance, reliable, and scalable

Full Description

Freelance AI Engineer – LLM Develope

Type: Full-time freelance remote

Company: BYO Inc.

About BYO:

BYO is on a mission to democratize intelligence by enabling anyone to build, train, and deploy custom language models with no code.

Location: Remote

Title: Freelance AI Engineer – LLM Developer (Full-Time)

What you’ll do:

• Build continual learning pipelines for large language models

• Createworkflows for automatic instruction tuning on user data

• Apply existing research to practical no-code tools

• Work with product and research teams to turn complex ideas into simple, usable features

• Keep models high-performance, reliable, and scalable

What you need:

• 5+ years of experience in production-level deep learning

• 1+ years of hands-on experience with large language models

• Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent research experience

• Deep understanding of machine learning concepts, such as parameter-efficient tuning, and best practices

• Proven experience training and fine-tuning large language models

• Strong ability to translate research into practical product features

• Hands-on experience with NVIDIA Docker

• Proven experience working with raw, real-world, unstructured text data beyond academic or benchmark datasets

Nice to have:

• Experience building no-code or low-code ML tools

• Background in writing academic papers or publications in LLMs, NLP, or continual learning

• Experience performing instruction tuning on domain-specific or noisy real-world data (“in the wild”)