Point Wild is looking to solve the problem of customers monitoring, managing, and protecting against the risks associated with their identities and personal information in a digital world by creating the world's most comprehensive portfolio of industry-leading cybersecurity solutions.
Requirements
- 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.
- Experience with machine learning model development, deployment, and optimization.
- Expertise in machine learning model development, deployment, and optimization.
Responsibilities
- Designing and optimizing machine learning models (supervised, unsupervised, and NLP-based) to drive security-focused intelligence across the platform.
- Building and deploying RAG pipelines, embeddings, and feature stores that enable context-aware, real-time decision-making.
- Collaborating with Data and MLOps engineers to package, deploy, and monitor models in scalable, cloud-native environments.
- Leveraging deep learning and NLP to provide actionable insights into risk posture, compliance, and security events.
- Researching and prototyping AI approaches that can adapt to post-quantum cryptographic standards and automated remediation.
- 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.
Other
- At least 4 years of experience
- 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.
- Solve real customer problems. Point Wild's point solutions allow consumers to address their immediate cyber protection needs.
- See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued.
