remote
Senior AI Engineer - Quantum
AI Engineer
Lead the design and deployment of advanced AI models for real‑time marketing analytics, leveraging Python, deep learning frameworks, and cloud infrastructure to drive data‑driven performance at scale.
About the role
Key Responsibilities
- Architect, develop, and productionize machine learning models that power real‑time campaign optimization and consumer intent prediction.
- Collaborate with data engineering and product teams to integrate AI solutions into the end‑to‑end analytics stack.
- Design and implement scalable pipelines on AWS, ensuring high availability, security, and compliance.
- Conduct experiments, perform model validation, and iterate rapidly to improve accuracy and latency.
- Mentor junior engineers and promote best practices in code quality, version control, and model monitoring.
Requirements
- 5+ years of professional experience in machine learning or AI engineering, with a strong focus on deep learning.
- Proficiency in Python and hands‑on experience with TensorFlow or PyTorch.
- Solid understanding of cloud platforms, preferably AWS (SageMaker, Lambda, ECS/EKS).
- Experience building and deploying real‑time inference pipelines and monitoring model performance in production.
- Strong analytical mindset, ability to translate business problems into scalable AI solutions.
Skills
pythontensorflowpytorchmachine learningaws