Artificial Intelligence Software Engineer

2 weeks ago

Dublin, Dublin City, Ireland beBeeMachineLearning Full time €85,000 - €115,000
Job Description

We are building intelligent systems for finance using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia.

As a software engineer, you will help build the systems that power this mission - from personalized recommendations and fraud detection to automation and search.

  • Your work will directly impact user experience, efficiency, and platform intelligence.
  • You will contribute to production-grade AI systems that serve millions.

Key Responsibilities:

  • Work with product, data, and engineering teams to define AI goals and technical strategies.
  • Design, build, and deploy machine learning models that power personalization, automation, and insight generation.
  • Manage the AI lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Build scalable AI infrastructure and deployment pipelines.
  • Integrate AI outputs into user-facing products and backend systems.
  • Stay current with AI trends and apply relevant innovations into our stack.
Required Skills and Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field.

2-4 years of experience in machine learning or backend software development.

Strong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learn.

Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation.

Familiarity with model deployment, API development, or real-world ML integration.

What We Offer

We offer a dynamic and supportive environment where you can grow quickly in a lean, high-impact engineering environment.

Our team is passionate about innovation and pushing boundaries.

We believe in collaboration, open communication, and mutual respect.

Nice to Have

Experience with NLP, computer vision, or recommendation systems.

Familiarity with cloud services (e.g. AWS, GCP, Azure).

Exposure to Docker, Git, or CI/CD tools.

Background working in a high-growth startup or agile product environment.

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