Chief Data Scientist - #2075356

Dresden (Hybrid)

Flexible Arbeitszeiten

NI’s (Emerson subsidiary) 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 is led 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

As part of the company AI roadmap, the Chief Data Scientist will be responsible for evaluating different ML frameworks, algorithms, methodologies, and tools, build generic machine learning applications (from use case initiation to actual deployment) and initiate improvements of internal and external (customers) methods and practices

The Chief Data Scientist will be responsible for helping customers perceive the full value of NI data platforms by leveraging advanced machine learning methods on top of NI’s data platform to solve customer’s specific requirements and use cases

The Industrial domain (Semiconductors, electronics and automotive) is very challenging as it comes to machine learning implementation and deployment due to the high cost of escapes/model inaccuracy, business workflow complexity, IT restrictions and regulation



If you are very skilled in ML, motivated by challenges and want to take a leading part in bringing the AI revolution to Industrial IoT – this is the right position for you



In this Role, Your Responsibilities Will Be:

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  Collaborate with data scientists, machine learning engineers, developers, and sales to solve complex customer problems, and highlight opportunities on top of the NI Optimal+ solution using advanced machine learning methods
  
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  Design & Develop AI models from research to production, create solutions across diverse use cases, from tabular ML to deep learning, computer vision, analysis, and generative AI
  
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  Help design and implement robust and scalable machine learning life cycle support
  
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  Be a pioneer by bringing AI into completely new use cases to help world leaders like Nvidia, Qualcomm, VW and GM improve their products quality and costs by leveraging AI everywhere
  
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  Continuously learn and develop new skills as you participate and lead projects across a variety of use cases as well as AI methodologies, algorithms, and technologies
  
  

Who You Are:



You thrive on challenges and bring a proactive, "can-do” attitude to every project, consistently driving results.

You’re committed to learning and mastering new areas and are motivated to take ownership and make things happen

For This Role, You Will Need:

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  Bachelor’s degree in computer science, Data Science, or related field; M.Sc. or PhD preferred
  
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  5+ years of experience in AI/ML/DL or related field of delivering solutions to production
  
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  Expertise in Python and libraries for ML & data i.e., Pandas, NumPy, Scikit-Learn, Pytorch
  
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  In depth knowledge of machine learning techniques, deep learning, and statistical methods
  
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  Customer facing and presentation skills
  
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  Self-motivated, driven by challenges
  

Preferred Qualifications that Set You Apart:

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  Expertise in the semiconductor and/or electronics industries
  
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  Experience in generative AI especially in nonstandard domains like large datasets of tabular or waveforms data
  
  
  

Our Offer to You:



We understand the importance of work-life balance and are dedicated to supporting our employees' personal and professional needs. From competitive benefits plans and comprehensive medical care to equitable opportunities for growth and development, we strive to create a workplace that is supportive and rewarding



Our flexible work from home policy allows you to make the best of your time, by combining quiet home office days with collaborative experiences in the office so that you can personalize your work-life mix



Moreover, our global volunteer employee resource groups will empower you to connect with peers that share the same interest, promote diversity and inclusion, and positively contribute to communities around us



All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, or national origin

Python, Data Science, ML, NumPy, Pandas, Pytorch, AI, Deep Learning, generative AI, Englisch

Dieser Job bzw. Stellenanzeige als 'Chief Data Scientist' ist für folgende Adressen ausgeschrieben: Am Waldschlösschen 2, 01099 Dresden

Kurzprofil der National Instruments Dresden GmbH

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