Senior Staff Machine Learning Engineer

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

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.