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ALLPS

Machine Learning Engineer

ALLPS
Switzerland · Full-time · Director

We are looking for a highly skilled Machine Learning Engineer who has a strong foundation in building, deploying, and optimizing ML models. If you are passionate about AI, hands-on with modern ML frameworks, and eager to work on innovative solutions—including GenAI—this role is perfect for you.

Key Responsibilities

  • Work on GenAI and Large Language Model–based (LLM) solutions.
  • Collaborate with cross-functional teams to understand requirements and deliver high-quality ML solutions.
  • Optimize AI Agents performance, scalability, and efficiency.
  • Implement data preprocessing, feature engineering, and model evaluation techniques.
  • Participate in code reviews, research, and experimentation to improve ML pipelines.

Required Skills & Expertise

  • 2 to 8 years of experience as a Machine Learning Engineer / Data Scientist.
  • Strong knowledge of Python and ML libraries.
  • Hands-on experience with Ai Agents,Scikit-learn,API integration .
  • Experience building and deploying real-world ML/AI applications.
  • Understanding of Generative AI, LLMs, and prompt engineering is a strong advantage.
  • Excellent problem-solving and analytical skills.
  • Good communication skills and ability to explain complex concepts clearly.

Good to Have

  • Knowledge of MLOps, cloud platforms (AWS/GCP/Azure), Docker, or CI/CD.
  • Experience with NLP, Computer Vision.
  • Research-oriented mindset and willingness to explore new frameworks/tools. Strong communication skills are essential as this is a remote position. The ability to work independently, manage priorities, and meet deadlines is crucial for success in this role.

If you are passionate about machine learning and want to make a significant impact on our products and services, we would love to hear from you!

Key Skills

Ranked by relevance

ai machine learning python docker cloud mlops
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Posted
May 07, 2026
Type
Full-time
Level
Director
Location
Zurich
Company
ALLPS

Industries

Software Development

Categories

Engineering Information Technology

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