AI Engineer

7 days ago

Remote Estonia Point Wild Full time €90,000 - €120,000 per year

About the Role:

Point Wild is building the Trailblazer AI Team - a dedicated group focused on applying AI to enhance our products, drive business growth, and deliver real-world impact across multiple product lines (antivirus, VPN, identity protection, password management, and more).

As an AI Engineer, you will work closely with Senior AI Engineers and MLOps/Data Engineers to develop, deploy, and optimize AI models that power our next-generation security products.

This is a hands-on engineering role, requiring expertise in machine learning model development, deployment, and optimization. You will contribute to multiple AI initiatives, ensuring that models are efficient, scalable, and production-ready.

Day to Day:

  • Model Development & Optimization: Implement, refine, and maintain ML models (supervised, unsupervised, NLP-based models).
  • Production Integration: Work with Data/MLOps Engineers to package, deploy, and monitor models within a robust CI/CD pipeline.
  • Performance Tuning: Optimize model efficacy, efficiency, and reliability
  • Parallel Project Support: Split or manage multiple AI initiatives to enable faster execution across various R&D efforts.

What you bring to the table:

  • Strong ML & AI Fundamentals: Hands-on experience with supervised/unsupervised learning, NLP, and deep learning techniques.
  • Model Deployment & MLOps Experience: Comfortable working with containerized models, cloud-based AI pipelines (AWS preferred), and CI/CD for ML.
  • Proficiency in Python & ML Frameworks: Experience with PyTorch, TensorFlow, Scikit-learn, or similar tools.
  • Performance-Driven Mindset: Skilled in optimizing models for accuracy, efficiency, and scalability.
  • Collaboration & Growth: Thrives in a cross-functional team and is eager to learn from and contribute to AI best practices.
  • Fluent English

Why Join Us?

  • Work on Cutting-Edge AI: Build and optimize real-world AI solutions across multiple security-focused product lines.
  • Be a Key Player in AI Deployment: Own critical aspects of model development, productionization, and optimization.
  • Learn & Grow in a High-Impact Team: Collaborate with top AI engineers and scale AI innovation within a growing company.

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