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Point Wild

👥 101-250SecuritySoftware💼 Private Company
Website LinkedIn

Point Wild is an online protection company that develops industry-leading cybersecurity solutions for device security, online privacy, and identity theft prevention. We provide a portfolio of best-in-class products aimed at safeguarding individuals in the digital world. As a growing company backed by WndrCo, Warburg Pincus, and General Catalyst, Point Wild is building a comprehensive suite of cybersecurity offerings to meet the evolving needs of our customers. We utilize technologies like Person Schema, Gravatar Profiles, and CommonCrawl Top 50m, and our engineering teams embrace automation and Infrastructure as Code practices. We are a globally-minded organization with remote opportunities in Poland and Ukraine. Our engineering culture emphasizes collaboration and innovation. We're seeking skilled SREs to help us maintain the reliability and performance of our systems. We are committed to creating an inclusive environment where individual contributions are valued, and employees have the opportunity to learn and grow. With recent acquisitions of Total Security and Pango Group, Point Wild is on a rapid growth trajectory. Our focus remains on delivering impactful solutions and expanding our market presence. We have a team of 101-250 employees, and we are always looking for talented people to join our team.

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Jobs at this company:

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🔥 ML Ops/Data Engineer
Posted 2 days ago

📍 Poland, Romania, Ukraine

🔍 Cybersecurity

  • Experience building and maintaining ETL/ELT pipelines for large-scale data ingestion and transformation.
  • Strong knowledge of AWS services for ML infrastructure, model deployment, and automation.
  • Experience setting up CI/CD workflows for ML models, including versioning, monitoring, and automated retraining.
  • Comfortable writing efficient Python and SQL scripts for data processing and model deployment.
  • Can balance quick PoC enablement with long-term scalability in AI deployments.
  • Design and maintain ETL/ELT pipelines to ingest, clean, and transform data from multiple product lines.
  • Stand up and manage AWS-based ML infrastructure (e.g., S3 data lakes, AWS Glue, EMR, AWS Batch, Lambda, SageMaker).
  • Own CI/CD for ML models, including environment setup, model versioning, containerization, and monitoring.
  • Ensure AI teams have reliable access to data, scalable training environments, and efficient deployment pipelines.
  • Help move AI proofs-of-concept from experimentation to fully productionized, scalable deployments.

AWSDockerPythonSQLApache AirflowCloud ComputingETLData engineeringCI/CDDevOps

Posted 2 days ago
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🔥 Team Lead Senior AI Engineer
Posted 2 days ago

📍 Poland, Romania, Ukraine

🔍 Cybersecurity

  • Strong background in applied machine learning, inclusive of deep learning and natural language processing, with experience deploying AI in production.
  • Proficiency in Python, PyTorch/TensorFlow, and cloud-based ML deployment (AWS preferred).
  • Ability to translate AI capabilities into tangible product improvements that impact users.
  • Experience leading AI projects and mentoring engineers, with a track record of delivering AI-powered features in production.
  • Manage the execution of the AI roadmap, ensuring AI initiatives align with business objectives and drive measurable impact.
  • Partner with R&D teams across multiple product lines to scope, prioritize, and deliver AI-powered features and capabilities.
  • Serve as the single technical point of contact for AI initiatives, providing expert guidance on architecture, model selection, and deployment.
  • Write production-level code, submit PRs, and review team contributions—ensuring high-quality AI solutions with best practices in software engineering and MLOps.
  • Conduct PR reviews, uphold rigorous engineering standards, and mentor engineers to elevate AI development across the company.
  • Ensure AI solutions are deployable, maintainable, and optimized for real-world performance.

AWSLeadershipPythonSQLArtificial IntelligenceCloud ComputingMachine LearningMLFlowNumpyPyTorchAlgorithmsData StructuresREST APITensorflowCommunication SkillsAnalytical SkillsProblem SolvingMentoringTeam managementSoftware Engineering

Posted 2 days ago
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🔥 AI Engineer
Posted 2 days ago

📍 Poland, Romania, Ukraine

🔍 Cybersecurity

  • Hands-on experience with supervised/unsupervised learning, NLP, and deep learning techniques.
  • Comfortable working with containerized models, cloud-based AI pipelines (AWS preferred), and CI/CD for ML.
  • Experience with PyTorch, TensorFlow, Scikit-learn, or similar tools.
  • Skilled in optimizing models for accuracy, efficiency, and scalability.
  • Implement, refine, and maintain ML models (supervised, unsupervised, NLP-based models).
  • Work with Data/MLOps Engineers to package, deploy, and monitor models within a robust CI/CD pipeline.
  • Optimize model efficacy, efficiency, and reliability
  • Split or manage multiple AI initiatives to enable faster execution across various R&D efforts.

AWSDockerPythonArtificial IntelligenceCloud ComputingData AnalysisKubernetesMachine LearningPyTorchAlgorithmsData engineeringData StructuresTensorflowCI/CD

Posted 2 days ago
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