AI Engineer

vor 2 Wochen

Zürich, Zürich, Schweiz Acquism SARL Vollzeit CHF 100'000 - CHF 120'000 pro Jahr

Job Location
– Zurich, Switzerland

Experience (Years)
: 6+ years

Pay Rate
– TBN

Start Date
- ASAP

6 Months Contract
– Renewable

We are seeking an AI Engineer to collaborate with cross-functional teams in solving compliance and regulatory business challenges through innovative AI-powered solutions. You will contribute across the full lifecycle of AI model development—from problem definition to deployment—ensuring high-performance, scalable, and ethically responsible AI solutions.

In this role, you will work on model development, training, fine-tuning, prompt engineering, and continuous improvement based on real-world performance and stakeholder feedback. You will design, build, test, and integrate AI-powered applications while adhering to best software engineering practices. Effective communication with both technical and non-technical stakeholders is essential to align project goals and deliverables.

Responsibilities

  • Collaborate with cross-functional teams to address compliance and regulatory business problems using AI-driven solutions.
  • Contribute to the entire AI model lifecycle, including problem definition, development, training, fine-tuning, deployment, and ongoing improvements.
  • Develop, test, and integrate AI-powered applications with strong adherence to software engineering best practices.
  • Implement and refine RAG-based generative AI solutions and prompts.
  • Continuously evaluate and improve model performance using real-world feedback.
  • Communicate effectively with stakeholders across technical and business domains.

Required Experience & Skills

  • 3–5 years
    of experience in software engineering or a related role, with exposure to AI/ML concepts and applications.
  • Strong proficiency in
    Python
    for production-level software development.
  • Hands-on experience in
    application development
    , including building and deploying APIs.
  • Familiarity with
    AI/ML frameworks
    such as TensorFlow, PyTorch, Hugging Face, and OpenAI API, and their integration into applications.
  • Experience with
    RAG-based generative AI solutions
    and strong knowledge of
    prompt engineering
    .
  • Understanding of machine learning concepts, including model types, training, fine-tuning, and deployment.
  • Knowledge of
    MLOps best practices
    (model lifecycle management, monitoring, scalability) is a plus.
  • Experience with
    source control, DevOps, and CI/CD pipelines
    (Git, Docker, Kubernetes).
  • Strong understanding of
    software engineering principles
    , including scalability, performance optimization, and maintainability.
  • A collaborative team player with a proactive approach to problem-solving and adaptability to new technologies.
  • Degree in
    Computer Science, Software Engineering, Data Science
    , or a related field (or equivalent experience).

Competencies

  • Digital: Python
  • Digital: Machine Learning
  • Digital: Artificial Intelligence (AI)

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