Head of AI/ML (all gender)

Vollzeit TVARIT in Technologie Email Job
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Job Detail

  • Offered Salary 1000
  • Career Level Manager
  • Experience Fresh
  • Gender Male
  • Industry Development
  • Qualifications Certificate

Job Description

Tvarit GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive and process industries. With its software products, Tvarit makes it possible to its customers to make intelligent and well-founded decisions, e.g., in the forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities and the award of renowned AI prize (e.g., EU Horizon 2020) which makes Tvarit one of the most innovative AI companies in Germany and Europe.

We are looking for a Head of AI/ML to lead our data science research team and build innovative ML-powered applications. As a Head of AI/ML at Tvarit, you will have the opportunity to grow as a researcher and to steer the company’s overall artificial intelligence efforts, creating a more formal path for ML experimentation, development, and product realization. By collaborating with other leaders in engineering, product and design, you will align product needs with new areas of research and innovation that support ML efforts across the company, both in the near-term and long-term.

 

Key work responsibilities 

  • Provide leadership to a team of 5+ data scientists and engineers within our center of excellence for AI & ML.
  • Identify and translate business needs into clearly scoped data science projects and take a hands-on approach to steer solution design and implementation.
  • Help build world-class products to secure the company’s unique position in the market.
  • Create a vision and a strategic roadmap of AI & ML within the company including the strategy to secure patents for the company.
  • Plan and prioritize research activities across the data team with a results-focused approach
  • Build a team of ML and data science researchers through effective hiring and mentoring with a focus on cultivating talent and instilling data-driven values in a fast-paced environment.
  • Collaborate with engineering, product, design, and business leaders to ensure that work is aligned with the company’s mission and goals
  • Carry out AI research with world’s renowned professors from Tvarit’s partner universities such as IITs, TU Darmstadt, TU Munich, and Stanford

 

Your background 

  • Ph.D or MSc in a quantitative field such as Statistics, Mathematics, Operations Research, Econometrics, Computer Science, or Engineering
  • Successful track record building Machine Learning / Statistical Models. 5+ years experience preferred
  • Extensive 2+ years of experience preferred experience managing and developing a team of data scientists and machine learning engineers.
  • Proven track record writing production-grade ML applications in Python. Proficient using SQL.
  • Deep understanding of advanced ML concepts (e.g. Deep Learning, Bayesian statistics).
  • Experience with agile methodologies such as Scrum & Kanban and proficiency in using project management tools. Jira preferred.

 

Preferred Skills

  • Experience in fast-growing data-driven startups.
  • Experience with ideation and innovation of technology at scale, successfully producing intelligent software products and features within strict timelines.
  • Experience with production-ready systems for Machine Learning (e.g. Feature Storage).
  • A desire to keep up with the field by attending or publishing at relevant conferences (ICML, NeurIPS, ACL, EMNLP, KDD, AAAI, ICLR, CVPR etc.)

 

We offer  

  • Culture of innovation, creativity, learning, and even failure, we believe in bringing the best in you.
  • Progressive leave policy for effective work-life balance.
  • Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentoring program, as we believe in empowering people.
  • Multicultural peer groups and supportive workplace policies.
  • Exchange program cross country-wise.

 

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