machine learning engineer

AspenView Technology Partners specializes in creating high-performing, nearshore IT teams that assist North American clients in accelerating innovation and improving operational efficiency.

• Design and implement secure architectures for AI/ML solutions to ensure model integrity and data protection;
• Embed security into the full model lifecycle, including training data ingestion, deployment, inference, and monitoring;
• Identify and mitigate AI-specific vulnerabilities such as prompt injection, model poisoning, evasion attacks, and data leakage;
• Integrate AI-driven detection and automation capabilities into Cyber Defense Operations and SOC environments;
• Develop AI/ML models to improve threat detection accuracy and automate incident response workflows;
• Collaborate with Digital and AI teams to establish secure AI design patterns and responsible AI adoption standards;
• Define and implement AI security guardrails, technical standards, and control frameworks for enterprise-wide use cases;
• Align AI security controls with emerging regulatory requirements, ethical AI principles, and risk obligations;
• Conduct security assessments on internal and third-party AI/ML models and their underlying infrastructure.

• 6–8+ Years in Cybersecurity, focused on securing AI/ML workloads or using Data Science for security;
• Ability to analyze model architectures and data flows to identify security weaknesses;
• Understanding of how attackers exploit ML models and how to build defensive guardrails;
• Experience working with Data Scientists and AI Engineers to bridge the gap between speed to market and secure by design;
• Nice to have: PyTorch, TensorFlow, Scikit-learn, Hugging Face, Giskard, Lakera, OWASP Top 10 for LLMs, AWS SageMaker, Azure AI/ML Studio, Google Vertex AI, prompt injection filters, CleverHans, ART, Docker, Kubernetes.

• Competitive base salary;
• Comprehensive benefits and wellness support;
• Real growth opportunities and leadership visibility.