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Umanova SA

AI ENGINEER - (Remote)

Umanova SA
Switzerland · Full-time · Mid-Senior
Want to build real-world generative AI applications that solve business problems within the Ocean Transportation industry ? Were seeking a hands-on AI Engineer with a background in Software, Data, or Machine Learning Engineering.

Job Purpose And Impact

You will design, build, and deploy generative AI-driven solutions focused on real-world applications (i.e., no research-only roles). You’ll work closely with engineering teams to implement practical AI capabilities using LLMs and RAG setups.

Key Accountabilities

  • Model Customization & RAG: Implement retrieval-augmented generation techniques to customize LLMs for practical business use.
  • API & Platform Integration: Use AWS Bedrock, OpenAI or similar APIs to embed generative AI into existing systems.
  • Applied Solution Development: Build AI-powered tools to enhance operational efficiency, decision-support systems, or customer workflows in industry settings.
  • Data Prep & Collaboration: Work with data engineering to preprocess and manage data for model inputs, ensuring security and compliance.
  • Performance Tuning & Production Deployment: Monitor and refine LLM deployments in scalable, reliable environments.
  • Cross-Functional Partnership: Collaborate with software engineers, product managers, and stakeholders to deliver AI solutions that meet real needs.
  • Documentation & Communication: Create clear documentation and explain technical concepts to both technical and non-technical audiences in a hands-on context.

Qualifications Minimum Qualifications

  • Background: 1–3 years (or more) of applied experience in Software, Data, or ML Engineering (e.g., backend, data pipelines, model implementation).
  • Technical Fluency: Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
  • Cloud Experience: Familiarity with AWS, GCP, or Azure integration.
  • Generative AI Passion: Interest in LLMs, prompt engineering, RAG, and applied AI, demonstrated through project work or prior deployments.
  • Problem-Solving & Ownership: Ability to take a project from prototype to delivery, optimizing for performance and business value.
  • Soft Skills: Clear communication, cross-functional collaboration, agile mindset.
  • Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, PhD not required.

Pluses (Nice to Have)

  • Experience with LLM fine-tuning, prompt engineering, or LangChain/Agent frameworks.
  • Familiarity with MLOps tools (e.g., MLflow, Docker, CI/CD pipelines).
  • Industry-specific experience (e.g. maritime, logistics, finance) is a bonus, but we prioritize applied engineering experience over domain knowledge.

We are looking forward to your application

Key Skills

Ranked by relevance

ai aws machine learning tensorflow pytorch python docker mlflow mlops cicd gcp
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Country Guide

Switzerland

Very high salaries and premium quality of life

Posted
Jul 07, 2026
Type
Full-time
Level
Mid-Senior
Location
Switzerland
Company
Umanova SA

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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