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AI Junior Engineer

Job in 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2025-12-03
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Opportunity

We are seeking a talented and motivated AI Engineer to support the design, development, and deployment of AI-powered solutions for both internal teams and external clients. This role is ideal for a hands-on professional who is passionate about building real-world machine learning and AI applications, collaborating with cross-functional teams, and contributing to the growth of AI capabilities in a large-scale consulting environment.

Key Responsibilities
  • AI Solution Development:
    Design, build, and test AI solutions (including complex RAG systems, machine learning, deep learning, AI Agents) for diverse use cases
  • Model Deployment & MLOps:
    Support deployment pipelines for AI models using modern MLOps tools and cloud platforms (e.g. Azure)
  • Performance Monitoring:
    Help implement monitoring systems to track model performance and ensure long-term reliability and fairness
  • Code Quality & Reusability:
    Write clean, modular, and production-grade code; contribute to the development of reusable components and accelerators
  • Collaboration & Documentation:
    Work closely with senior data scientists, engineers, and business stakeholders to align solutions with project requirements
  • Exploration & Prototyping:
    Participate in the rapid prototyping of AI solutions and assist in evaluating their feasibility and business value
Requirements
  • Experience in designing and implementing AI/ML solutions, RAG systems and AI Agents
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization technologies (Docker, Kubernetes)
  • Good understanding of data structures, algorithms, and software engineering practices
  • Exposure to MLOps practices, CI/CD pipelines, and ML model monitoring
  • Enthusiasm for solving real-world problems using AI technologies
  • Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
  • Prior internship or project experience in AI/ML is preferred, especially in business or consulting contexts
About the Role

As an AI Engineer, you will play an essential role in transforming business needs into scalable AI solutions. You will help bridge the gap between prototyping and production, ensuring that machine learning systems are efficient, maintainable, and deliver long-term business value. Your contributions will directly support the AI vision and strategic priorities of the firm and its clients.

What We Offer

We’ll develop you with future‑focused skills and equip you with world‑class experiences. You’ll be empowered in a flexible environment and supported by a diverse, inclusive culture of globally connected teams.

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