Project Lead Machine Learning

60% of data in AI and analytic projects will be synthetically generated by 2024 according to Gartner. By 2030, analysts predict fake data to replace actual data entirely. Aimino is the provider to quickly bring Machine Learning into real applications with synthetic data. Our ML platform Amelia, unifies applications and input data sources to maximize the business values of Machine Learning.

Tasks

We are extending our ML-Engineering team in Karlsruhe. The responsibilities include but are not restricted to:

• Lead ML projects with one or multiple enterprises to bring ML into products.
• Enrich Aimino's core ML-Platform Amelia with required ML- and Engineering capabilities.
• Lead customization for ML deployment on different infrastructures such as on edge, on-prem, and in the cloud.

Requirements

• Successfully led 2-3 Machine Learning projects for products.
• 1-3 years of a strong technical background with full-stack for Machine Learning frameworks and development (Tensorflow, Keras, Pytorch, TF-extended, TF-lite)
• Strong background in cloud and deployment technologies (Elastic search, AWS, GCloud, Azure, etc.)
• Fundamental knowledge and best practices of Software Engineering (architecture design, coding conventions, programming languages such as C++, Python, C#, javascript, PHP)

Benefits

• High responsibility with enormous impact from day one.
• Personal growth by leading exciting, cutting-edge projects with large enterprises and SMEs (small and mid-sized enterprises)
• Strong collaboration with colleagues, coming from prestigious Machine Learning institutions such as Google AI Research, Bosch AI
• Innovative internal development best practices and processes closely resemble big tech's internal processes.
• Attractive compensation package
• Hybrid working model with Home Office
• Teamevents
• Free Snacks and Fruits