Job Summary:

We are seeking a skilled LLM Engineer to develop, fine-tune, and implement Large Language Models (LLMs) for various applications. The ideal candidate will have a strong background in machine learning, natural language processing, and experience working with LLMs such as GPT, BERT, or similar. This role is perfect for someone looking to contribute to meaningful projects while earning equity in a growing startup.

Key Responsibilities:

• Develop, fine-tune, and deploy LLMs for various applications, including but not limited to text generation, summarization, translation, and sentiment analysis.
• Collaborate with the product and engineering teams to understand project requirements and translate them into technical solutions.
• Optimize LLMs for performance, accuracy, and scalability.
• Stay up-to-date with the latest research and advancements in the field of natural language processing and machine learning.
• Conduct experiments to test hypotheses and improve model performance.
• Document and present findings, progress, and project outcomes to the team.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or similar.
• Hands-on experience with LLMs like GPT, BERT, T5, etc.
• Strong programming skills in Python.
• Familiarity with natural language processing techniques and tools.
• Experience with data preprocessing and data augmentation techniques.
• Ability to work independently and manage time effectively in a remote setting.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Knowledge of MLOps and deploying machine learning models in production environments.
• Contributions to open-source projects or publications in relevant fields.

What We Offer:

• Equity in a promising startup with significant growth potential.
• Flexible working hours and the ability to work remotely from anywhere.
• Opportunities for professional growth and development.
• A collaborative and inclusive team culture.

Details:

Seniority level

Mid-Senior level

Employment type

Part-time

Job function

Engineering

Industries

Software Development