Director of Data & AI
- תל אביב
- הכשרה
- משרה מלאה
- Lead & Mentor: Manage and grow three teams (~ 20 engineers & scientists) across multiple locations (Israel, US, Europe).
- Strategic Roadmap: Define and prioritize quarterly roadmap in collaboration with Product and Executive Leadership.
- Cross - Functional Alignment: Collaborate with software, hardware, and partner teams to integrate data pipelines and deploy AI models.
- Stakeholder Communication: Serve as the primary voice of Data & AI - presenting roadmaps, vision, metrics, and outcomes to executives and external partners.
- Drive state of the art computer vision research and productization.
- Architecture & Scalability: Ensure data platforms (batch and streaming) are secure, reliable, and scalable - leveraging AWS, Kubernetes, Terraform, etc.
- Data Governance & Security: Ensure high standards for data quality, privacy, and compliance practices across all pipelines and models.
- Proven Leadership: 8+ years in data/AI roles, with ≥3 years managing multi - disciplinary teams.
- Strong Communicator: Exceptional ability to translate complex technical work into clear, business-focused updates for all audiences.
- Cross - Functional Collaboration: Track record working closely with Product, Software, Hardware, and Sales to deliver integrated solutions.
- Model Lifecycle Management: Expertise in MLOps practices - CI/CD for models, feature stores
- Educational Background: BS/MS in CS, Engineering, Data Science or related field (PhD a plus).
- Partner with Product and the CTO to define and track KPIs and ROI for Data & AI efforts, ensuring technical work drives measurable business impact.
- Beneficial Technical Expertise:
- Data Engineering: Streaming/batch pipelines (Airflow, Kafka, Spark).
- Machine Learning: TensorFlow or PyTorch; Custom architecture design for object detection, classification, and inference optimization.
- Cloud Platforms: AWS (SageMaker, Glue, EMR), Kubernetes, IaC (Terraform/CloudFormation).
- Domain experience in transportation, smart cities, or IoT
- Publications or patents in ML/computer vision
- Familiarity with quantization and acceleration on embedded devices (e.g., NVIDIA Jetson, Coral TPU)
- Familiarity with advanced feature store technologies or realtime inference platforms
- תכנון ואינטגרציה של מערכות הנעה ובקרה אלקטרוניות
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