LLM Engineer

Description

LLM Engineer

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are seeking a talented LLM engineer to help us advance our team. The ideal candidate should be a self-driven, motivated, and independent thinker who is passionate about using data and LLM to drive business outcomes.

Responsibilities:

• Develop and implement cutting-edge LLM models and algorithms for demand forecasting applications.
• Conduct research and experimentation to identify and evaluate new approaches for improving model accuracy and performance.
• Collaborate with cross-functional teams, including business stakeholders, data engineers, and software developers.
• Communicate technical findings and insights to non-technical stakeholders, including executives and other decision-makers.

Requirements

You’ll be a great fit if you have:

• 1+ years of hands-on experience in LLM and Prompt Development
• Strong understanding of LLM systems in production, including good coding practices for testing, reproducibility, and version control.
• Strong coding skills in Python.
• Excellent written and verbal communication skills.

Nice to have:

• 1+ years of hands-on experience in data science / machine learning
• Knowledge of code optimization, cloud computing, containerization, and continuous integration/continuous deployment (CI/CD) pipeline
• Published papers, patents, or professional posts.
• Experience with MLOps and cloud platforms like GCP.
• Strong data visualization and data analysis skills.
• Degree in Computer Science or related quantitative field