🕒 8 days ago
Develop and productionize machine-learning and computer-vision solutions that turn noisy real-world data into accurate traffic-control map features, improving detection, positioning, road association, and map quality.
Senior AI/ML Engineer - R01572485
🕒 28 days ago
AI/ML EngineeringEnterprise AI Platform ArchitectureMlopsLlmops
📜 Description
- Design and architect scalable, secure, operationally ready enterprise AI platforms.
- Define model lifecycle management, MLOps/LLMOps, and AI observability frameworks.
- Establish Responsible AI principles, governance frameworks, and technical guardrails.
- Set platform-level technical direction and reusable architecture patterns for AI and GenAI.
- Partner with business, data, technology, and platform teams to deliver production-ready capabilities.
- Evaluate emerging AI technologies and maintain model governance, version control, and documentation.
🛠️ Requirements
- Lead the design and architecture of enterprise-scale AI platforms, ensuring scalability, security, and operational readiness
- Define and implement frameworks for model lifecycle management, MLOps/LLMOps, and AI observability to support robust deployment and monitoring
- Establish and enforce Responsible AI principles, governance frameworks, and technical guardrails across AI solutions
- Drive platform-level technical decision-making and define reusable architecture patterns, standards, and reference models for AI and GenAI solutions
- Collaborate with business, data, technology, and platform teams to translate AI architecture principles into production-ready capabilities
- Evaluate emerging AI technologies and assess their applicability to enterprise AI platforms, supporting long-term scalability and business outcomes
- Maintain and improve AI model governance, version control, and documentation for ongoing operational excellence
- Expertise in enterprise-scale AI platform design and operationalization
- Deep proficiency in model lifecycle management, MLOps/LLMOps, and AI observability
- Advanced programming skills in Python and PySpark
Full job description
Senior AI/ML Engineer
Job requirements
Experience Range: with at least 6 years of experience in AI/ML engineering, including hands-on expertise in designing, building, and operationalizing enterprise-scale AI platforms Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
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