Team Leader LLM

Description

About Fetcherr: 

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 and experienced Team Lead to guide our LLM Engineering team. You will be responsible for leading a team of highly skilled engineers in developing and implementing applications using cutting-edge LLM models. The ideal candidate is a self-driven, motivated, and independent thinker with a proven track record of leading successful teams and a passion for learning new technologies. 

Responsibilities

  • Lead and mentor a team of LLM Engineers, fostering a collaborative and innovative environment. 
  • Oversee the development and implementation of LLM models and applications. 
  • Drive 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, to ensure alignment and successful project delivery. 
  • Communicate technical findings and insights to non-technical stakeholders, including executives and other decision-makers. 
  • Establish and maintain best practices for LLM development, including coding standards, testing, reproducibility, and version control. 
  • Contribute to the strategic direction of the LLM Engineering team, identifying opportunities for innovation and improvement. 

Requirements

You’ll be a great fit if you have …

  • 2+ years of experience in a leadership role, managing and mentoring technical teams. 
  • Design first approach 
  • Strong understanding of applications systems in production, including good coding practices for testing, reproducibility, and version control. 
  • Building applications that scale 
  • Strong coding skills in Python and/or Angular (TypeScript) 
  • 2+ years of hands-on experience in LLM 
  • Proven ability to lead and motivate a team to achieve ambitious goals. 

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. 
  • Experience with MLOps and cloud platforms like GCP. 
  • Strong data visualization and data analysis skills.
  • Degree in Computer Science or related quantitative field.


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