Senior IT AI/ML Engineer - Data Analytics

Palo Alto Networks

1d • Onsite

About The Position

As a Senior IT AI/ML Engineer, you will be responsible for the hands-on development, and implementation of AI-powered solutions that solve challenging business problems across IT and various business functions (Sales, Product, Finance & Marketing). You will work closely with Principal and Data leads to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve problems, and collaborate with other engineers, leveraging our AI Platform to deliver measurable business impact.

Requirements

• Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn).
• System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles.
• Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts.
• Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams.
• Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes.
• Continuous Learning: Passion for staying up-to-date with the latest advancements in AI.
• Bachelor’s degree and a minimum of 2+ years experience in AI/ML/Datascience or Master’s degree in Data Science/Computer Science or a related field.
• Understanding of the AI lifecycle with AI/ML system deployment experience.
• Hands-on experience with Generative AI and LLMs.
• Proficiency in AI/ML frameworks and cloud platforms.
• Strong programming skills (Python and C++).
• A solid command of SQL for complex querying and data manipulation.
• Experience with distributed systems and streaming data.
• Excellent communication skills.

Nice To Haves

• Master degree in Computer Science , Applied Mathematics , Machine Learning or related computation field.
• Experience with open-source AI projects.
• Prior technical developer role for AI/ML projects.
• Familiarity with cybersecurity principles for AI.

Responsibilities

• AI Solution Implementation: 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.
• Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Perform POCs for emerging AI innovations.
• Architectural Best Practices: Champion design standards and best practices for AI systems, collaborate with other AI engineers.
• Technical Expertise: Lead technical design discussions, perform code reviews and fostering engineering excellence.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees