7 Anomaly Detection Jobs

Role Overview: You will be leading and mentoring a multi-skilled product team in the Global Data Insights and Analytics (GDI&A) department at Ford Motor Company. Your primary responsibility will be to guide the team through the entire lifecycle of complex analytical and AI/ML data science products, ensuring proactive, evidence-based decision-making. Key Responsibilities: - Provide expert technical guidance and mentorship to data scientists & software engineers in the product team - Lead, mentor, and develop a high-performing team of data scientists, software engineers, and ML engineers - Contribute to the development and implementation of the team's innovation strategy - Lead the problem for...

Your work at Caterpillar Inc. shapes the world by creating stronger, more sustainable communities. As a Senior Engineering Manager in Performance Engineering & System Test Architecture, you will play a crucial role in ensuring the scalability, reliability, and resilience of digital platforms and applications. Your responsibilities will include defining test architecture strategies, building reusable frameworks, and leading performance and security testing initiatives across the enterprise. **Key Responsibilities:** - **Performance & Security Strategy:** - Define and implement performance engineering roadmap for platforms and applications. - Oversee security testing practices and ensure compl...

Job Description As an NPO engineer, you will leverage AI/ML and data science to plan, design, and optimize customer communication networks strategically. It encompasses end-to-end lifecycle management, including deployment, integration, operations, and maintenance. The position involves consulting on network performance and executing detailed design activities for customer satisfaction. Ultimately, this role drives revenue generation through advanced, data-driven network transformation and optimization. How You Will Contribute And What You Will Learn Apply AI/ML and data science methodologies to independently resolve complex network design and performance challenges in multi-vendor environme...

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

As an AI Application Security Architect at PwC, your role is crucial in ensuring the secure design, development, and operation of AI platforms, applications, and AI-enabled products. You will collaborate with various teams including AI platform engineering, product, data science, DevSecOps, cloud security, and compliance to integrate security measures at every stage of the AI development lifecycle. Your responsibilities will include: - **Security Architecture & Risk Assessment**: - Develop and maintain security architecture standards and patterns for AI and ML systems. - Conduct detailed architecture analysis and threat modeling for AI systems. - Provide risk assessments based on system desi...

As a Senior Engineering Manager at Caterpillar Inc., you will play a crucial role in leading the Performance Engineering and System Test Architecture function to ensure scalability, reliability, and resilience of digital platforms and applications. Your work will involve defining test architecture strategies, building reusable frameworks, and driving performance and security testing initiatives across the enterprise. **Role Overview:** - Lead Performance Engineering, System Test Architecture, and Security testing integration to create reusable test architecture backbone and non-functional excellence. - Establish a platform-grade test architecture and a performance-first culture to ensure rel...

Job Description: Total 2 industry experience 3 year experience in applying machine learning techniques to real business problems Key Responsibilities: Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution Collaborate with CPU GPU and Neural Engine hardware backends to push inference performance and efficiency Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models including large language models Automate da...