Palo Alto Senior Staff Machine Learning Engineer 

India, Karnataka, Bengaluru 

843066368

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
• Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems
• System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications
• Architectural Best Practices: Best practices & design principles of software & AI architecture
• Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
• Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring
• Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs

Your Experience

• 7+ (Bachelors) / 5+ (Masters) years in software engineering, with 2+ years in AI/ML solutions or platform development
• Hands-on expertise in building and deploying enterprise-grade AI/ML systems
• Understanding of the AI lifecycle: data, training, evaluation, deployment, and monitoring
• Experience with distributed systems, streaming data, data lakes, and real-time decision engines
• Generative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systems
• Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML)
• Strong programming skills (Python, Java)
• Excellent communication skills
• Bachelor's or Master's degree in Computer Science or related field
• System-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performance

Preferred Qualifications

• Master's / Bachelors degree in Computer Science, Machine Learning, or a related technical field or equivalent military experience required
• Prior experience in working with AI/ML systems, distributed systems
• Familiarity with cybersecurity principles as they apply to AI systems

The Ideal Candidate

• You are a highly skilled and passionate AI engineer who thrives on solving challenging problems and building robust, impactful solutions. You are enthusiastic about developing AI/ML solutions at scale. You are eager to translate business needs into innovative AI solutions and contribute to the company's digital transformation.

All your information will be kept confidential according to EEO guidelines.