Senior AI Engineer

Senior 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 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 a Senior AI Engineer, you will play a critical role in building, deploying, and operationalizing machine learning models that drive innovation across the company. This role is hands-on, requiring expertise across the entire AI development lifecycle—from proof-of-concept experimentation to production-ready deployment. You will collaborate closely with R&D teams to scope AI initiatives, rapidly prototype models, and ensure scalable, maintainable AI solutions.

Day to Day:

• Develop and Deploy ML Models – Build and deploy machine learning models leveraging a possibly wide range of machine learning techniques (e.g., supervised/unsupervised learning, natural language processing, etc.).
• Rapid Prototyping & PoCs – Quickly build early-stage proof-of-concepts (PoCs) and conduct technical feasibility studies for AI initiatives.
• Full AI Lifecycle Ownership – Work across the entire ML pipeline, from prototyping in Python to deploying containerized models in AWS.
• Mentor & Collaborate – Work closely with other AI engineers, providing mentorship as needed and ensuring best practices in AI development.
• MLOps & Continuous Deployment – Partner with the Data/MLOps team to establish and maintain CI/CD pipelines for AI models.

Why this role matters?

• Core Execution Role – This person will be building actual AI models, directly impacting multiple product lines.
• AI at Scale – Ensuring that models are not just prototypes but can be deployed, scaled, and maintained in production environments.
• Speed & Innovation – Rapidly iterating and translating AI research into working solutions that drive business value.

What you bring to the table:

• Strong ML & AI Expertise – Deep experience in applied machine learning, including supervised, unsupervised learning, and NLP.
• Full-Stack AI Development – Comfortable building PoCs and deploying models in production (AWS, Docker, Kubernetes preferred).
• Proficient in Python & ML Frameworks – Strong coding ability with PyTorch, TensorFlow, or Scikit-learn.
• Product-Oriented Mindset – Able to align AI development with business impact and product goals.
• Startup Mentality – Comfortable operating in a fast-moving environment where rapid iteration and execution are key.

Why Join Us?

• Work on Cutting-Edge AI – Build and deploy real-world AI solutions across multiple product lines.
• Be a Core Team Member – Directly shape the company’s AI strategy and impact millions of users.
• End-to-End AI Development – Own the full AI pipeline, from research and modeling to deployment and optimization.