Staff Software Engineer, Cloud AI, Document Understanding
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and visible senior ML engineering role attract many qualified applicants.
Role requires deep ML and cloud AI expertise, limiting cross-industry transferability.
Multiple explicit experience requirements and specialized ML/AI skills enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, deploy, and maintain large-scale software solutions focused on document understanding and processing using ML models and agentic loops.
Provide technical leadership on high-impact projects, managing priorities, deadlines, and deliverables while aligning cross-functional teams.
Lead the design and optimization of ML infrastructure and model deployment strategies, guiding software engineers to build new document processing solutions.
Minimum Requirements
Bachelor’s degree or equivalent practical experience.
Minimum 8 years of software development experience.
At least 5 years with ML design and ML infrastructure experience, including deploying and fine-tuning models.
Experience integrating generative AI tools or LLM interfaces into workflows.
Ideal Candidate Profile
Experienced in specialized ML fields such as speech/audio, reinforcement learning, or ML infrastructure with a focus on document understanding.
Demonstrates technical leadership in complex, matrixed organizations and can manage distributed engineering teams.
Strong background in large-scale system design, software architecture, and leading cross-functional teams on AI/ML projects in cloud environments.