Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architectural vision, design, and implementation of large-scale AI and data platforms focusing on performance, security, and robustness.
Champion software development best practices and cloud-based machine learning infrastructure standards across multiple teams.
Collaborate with global stakeholders to align technology roadmaps with strategic goals and drive adoption of modern engineering and MLOps practices.
Minimum Requirements
12+ years of software engineering experience with at least 5 years in senior leadership or principal engineer role.
Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or related field; Master’s in AI/ML/Generative AI highly desirable.
Proficiency in AI platforms and cloud-native architectures (AWS SageMaker, Databricks, Azure ML, Google Vertex AI) and languages like Python, Java, Scala, or Go.
Expertise in Kubernetes, Docker, CI/CD, DevOps methodologies, and deploying large-scale ML models in production.
Ideal Candidate Profile
Experienced leader capable of guiding engineering teams through complex AI platform development and organizational change.
Strong technical strategist with deep knowledge of AI/ML frameworks, agentic AI systems, and secure enterprise-scale solutions.
Collaborative and communicative professional able to influence global teams and align technology efforts with business priorities in fast-paced agile environments.