Chief AI Architect

4 dni temu

Warszawa, Mazovia, Polska Point Wild Pełny etat

At Point Wild, we're 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.

We're seeking a highly skilled AI Engineer to join our team. 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.

Key Responsibilities:

  • 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.

Your Qualifications:

  • 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.

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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