
Senior Staff Machine Learning Engineer
- Bangalore, Karnataka
- Permanent
- Full-time
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.Who We AreWe take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.Job DescriptionYour CareerAs a Senior Staff AI Engineer for Enterprise AI Solutions, you will be part of a team responsible for hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). This role demands deep technical expertise, a strong ability to solve complex problems, and leveraging our Enterprise AI Platform to deliver measurable business impactYour 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
- 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
- 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