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LLM Engineer

Remote:

Full Remote

Experience:

Junior (1-2 years)

Work from:

Poland

Offer summary

Qualifications:

1+ years of hands-on experience in LLM, Strong coding skills in Python, Degree in Computer Science or related field.

Key responsabilities:

Develop and implement LLM models
Communicate findings to non-technical stakeholders

Fetcherr Scaleup https://fetcherr.io

51 - 200 Employees

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Job description

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