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LLM-Finetuning & AI-Specialist

Roles & Responsibilities

  • Proficient in Python; Java and Kotlin; and common ML libraries (NumPy, Pandas, PyTorch, TensorFlow)
  • Strong understanding of ML and AI fundamentals
  • Strong motivation for cutting-edge AI implementations (Agentic Workflows, MCP, etc.)
  • Experience with Git workflows and basic Linux/shell scripting

Requirements:

  • Develop and deploy machine learning models (supervised/unsupervised) and AI solutions
  • Write and maintain efficient code in Python (NumPy, Pandas, PyTorch, TensorFlow)
  • Perform data preprocessing, model training, and evaluation (train/validation/test split)
  • Troubleshoot, debug, and optimize code and models

Job description

This is a remote position.


About the Role:

We’re seeking an AI Engineer to develop and implement machine learning models. You’ll work with Python, Git, and popular ML libraries to build AI solutions, agentic workflows, optimize algorithms, and collaborate with a cross-functional team of a highly specialized international firm.



Key Responsibilities:
  • Develop and deploy machine learning models (supervised/unsupervised) and AI solutions.

  • Write and maintain efficient code in Python (NumPy, Pandas, PyTorch, TensorFlow).

  • Perform data preprocessing, model training, and evaluation (train/validation/test split).

  • Troubleshoot, debug, and optimize code and models.



Requirements

Core Skills:

  • Proficient in Python, Java & Kotlin, as well as common ML libraries (NumPy, Pandas, PyTorch, TensorFlow)

  • Strong understanding of ML and AI fundamentals.

  • Strong motivation for cutting-edge AI implementations (Agentic Workflows, MCP, etc.)

  • Experience with Git workflows and basic Linux/shell scripting.


Soft Skills:

  • Excellent communication (English).

  • Strong problem-solving and teamwork abilities.



Benefits

Details:

  • Start Date: January 2026

  • Duration: 4 Months (with possibility of full-time offer)

  • Workload: 40-100%

  • Salary: 45+ CHF

  • Location: Remote




Salary: 45

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