AI Engineer

AI Engineer (100% remote) in either Poland, Ukraine, Romania, Bulgaria, Lithuania, Latvia, or Estonia

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: 

As an AI Engineer, you will work closely with an AI & Data Engineering team 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. 

Your 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: 

• At least 4 years of experience in AI/ML Engineering with strong hands-on expertise in developing and deploying production-grade ML models.
• Strong ML & AI Fundamentals: Hands-on experience with supervised/unsupervised learning, NLP, and deep learning techniques.
• Production Experience: Proven track record of building, optimizing, and deploying models into production environments.
• 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. 

Lat61 Mission

The Lat61 platform will power the next generation of cybersecurity and AI-enabled decision-making. As an AI Engineer on this team, you will help deliver:

• Advanced AI Model Development: Designing and optimizing machine learning models (supervised, unsupervised, and NLP-based) to drive security-focused intelligence across the platform.
• RAG & Embedding Workflows: Building and deploying RAG pipelines, embeddings, and feature stores that enable context-aware, real-time decision-making.
• Production-Ready AI Systems: Collaborating with Data and MLOps engineers to package, deploy, and monitor models in scalable, cloud-native environments.
• AI-Driven Analytics: Leveraging deep learning and NLP to provide actionable insights into risk posture, compliance, and security events.
• Future-Proofing for Quantum: Researching and prototyping AI approaches that can adapt to post-quantum cryptographic standards and automated remediation.