Senior Staff Machine Learning Engineer
Senior Staff Machine Learning Engineer
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Job Description
Your Career
As 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 impact
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
Qualifications :
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
Bachelors or Masters 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
Masters / 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 companys digital transformation.
Additional Information :
The Team
Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks.
Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
