Senior AI Data Engineer

Deep Cube, the AI Division of Nano Dimension Ltd. (NNDM), is an integral component of its parent company, located in the center of Tel Aviv, near ‘Tel Aviv-Hashalom’ train station.

We serve as trailblazers in the realm of artificial intelligence, focused on elevating industrial processes through sophisticated and innovative AI solutions. Our dedicated team is committed to driving excellence in the development and implementation of end-to-end predictive analytics projects.

Utilizing large scales of customer’s data, our mission is to empower industries with intelligent solutions that strategically enhance efficiency, optimize performance, and introduce transformative advancements. Our unwavering commitment to technological advancement fuels our ability to create comprehensive on-premises solutions, seamlessly integrating data collection, artificial intelligence, deployment strategies, and analytical dashboards.

As an AI Data Engineer, you will be a part of our Data team and will design, develop, and maintain various data systems and pipelines on a large scale, for on-premises environment, using various tools to advance the scientific front of AI.

We are looking for someone who is versatile, displays leadership qualities, and is passionate about taking on new challenges.

Responsibilities:

Designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access. Creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize. Collaborate with data scientists to build machine learning and analytics infrastructure from testing to deployment.

Requirements:

• Bachelor's degree in exact sciences
• At least 5 years of experience as a Data Engineer with on premise solutions
• Experience with large data volumes (TBs)
• Solid experience with software development principles
• Excellent team player with strong communication skills
• Well-organized, thorough, and able to multitask
• Hands-on, get it done, and result oriented
• Languages: Python, SQL
  
  

• Experience with working with AI engineers and modules
• Experience with sensorial data
• Experience with Plotly Dash