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Sansaone

Machine Learning Engineer (SN0386)

Sansaone
Belgium · Full-time · Entry
Job Description

We are seeking a Machine Learning Engineer to lead the development and optimization of AI applications, from conception to implementation and deployment.

  • The ideal candidate will work on Semantic Search, Fine-Tuning Large Language Models (LLMs), setting up RAG applications, and ensuring the continuous improvement of AI technologies.
  • If you are passionate about machine learning, AI-driven solutions, and innovative technology, this role is for you!

Key Responsibilities

  • Oversee the entire AI application lifecycle, from initial design to implementation and release.
  • Implement Semantic Search and fine-tune Large Language Models (LLMs) to optimize performance.
  • Develop RAG (Retrieval-Augmented Generation) applications and set up efficient data pipelines.
  • Continuously evaluate, refine, and enhance LLMs and AI technologies for improved outcomes.
  • Ensure the quality and reliability of AI models through unit and integration testing.
  • Participate in workshops and coaching sessions to enhance AI expertise and team collaboration.
  • Contribute to the improvement of the developer experience, optimizing workflows and increasing productivity.

Required Skills & Qualifications

  • Degree in Machine Learning, Computer Science, Mathematics, or a related field.
  • Strong foundation in machine learning and hands-on experience in software development.
  • Python and web frameworks such as FastAPI, Flask, or Django.
  • databases like PostgreSQL.
  • ML libraries, including PyTorch and Transformers.
  • High self-motivation
  • innovations

Languages

  • German
  • English

Hiring Team Member

Avula Srivalli

Recruitment Coordinator

  • LinkedIn
  • Mail

Key Skills

Ranked by relevance

ai machine learning fastapi pytorch flask
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Country Guide

Belgium

International hub for EU careers

Posted
Feb 16, 2025
Type
Full-time
Level
Entry
Location
Brussels
Company
Sansaone

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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