Requirements: English
Company: Point Wild
Region: Wroclaw , Lower Silesian Voivodeship
AI Engineer Poland, Remote or Ukraine, Remote or Romania, Remote Point 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 worlds 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 RD 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.