AI Engineer

AI EngineerPoland, Remote or Ukraine, Remote or Romania, RemotePoint Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. Join us for the ride!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. 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.