Job Description

About NI:

NI’s Optimal+ platform is playing in the field of Industrial IoT and is the only Big Data analytics platform that provides an end-to-end product analytics solution for automotive, semiconductors and electronics companies.

The data science group of NI is managed from the Israel R&D site. This group is responsible for both customer engagement and company level machine learning strategy, infrastructure, and roadmap.

As leaders in the field, we have an important role in bringing the full AI potential to manufacturing, we are working closely with our customers delivering the right platform for machine learning together with the right solutions, infrastructures, and methodologies to handle the full life cycle of machine learning in production.

About The Job

NI Israel looking for a Machine Learning Engineer Student to join her awesome DS team!

If challenges motivate you and want to experience and learn as much as possible backed by a team of champions – this team is the right place for you.

Job Description:

• As leaders in the Big Data analytics in Industrial IoT, our goal is to provide various solutions for the industry of semiconductors and electronics on production process as part of the AI revolution for industrial IoT.
• The role will include working in both tabular data and computer vision domains.
• You’ll Contribute to explore usages of machine learning in the Semiconductor & Automotive/Electronics manufacturing industries through hands-on involvement on the entire ML pipeline, from data preparation through model building and evaluation.
• You’ll help design and implement infrastructures for robust and scalable machine learning life cycle support.
• You’ll design and implement automated classification and prediction solutions using big data analytics and machine learning techniques.
  
  

Requirements:

• Strong “Can do” attitude and real passion for technology and data science.
• Studying for M.Sc/B.Sc in Computer Science or related technical discipline( M.Sc is a big advantage)
• Fluent in python.
• Experience in machine learning in either of tabular data/computer vision domains (either academical or independently).
• Experience/knowledge working with common deep learning frameworks (Pytorch, TensorFlow).
• Availability for 3-4 working days a week.
• Remaining studies of at least one and a half years.
• Please attach grade sheet to the CV.
  
  

Advantage:

• Work Experience as a software engineer or machine learning engineer.
• Experience in the semiconductor or electronics industry.
• Experience in Image Processing/Computer Vision & optimizations.
• Experience in development and deployment in Big Data systems.