At iScientix, it’s our mission to become a successful eco-system partner by achieving highest customer satisfaction through tailor made digital transformation offerings and solutions. To deliver on that promise, we’re building team of innovative minds with exceptional programming abilities with skills ranging from full-stack development to building AI models and algorithms.
To strengthen the team of our our clients in automotive mobility sector in Germany, currently we are looking for engineers working on the evolving vehicle features and concepts like ADAS, autonomous (AV), connected, Digital twin, cyber security, charging technology, as well as a new digital ecosystem with Machine learning/AI.
WHO YOU ARE :
•Minimum of 6 Years of professional experience and ideally in prod
•University degree from reputed institutions(Bachelor’s / Master’s or PhD)
•Computer science or Electrical/Electronics Engineering with relation to AI and Robotics, Data Science & Scientific Computing or Machine Learning & Data Analytics or Mathematics
•Applied knowledge in at least 2 of the below
•Software development and programming in C/C++, Python
•Data Analytics, Design and Training of Neuronal Networks and common ML frameworks such as PyTorch and TensorRT
•Optimisation Theory for Machine Learning and Big-Data Applications•Sound conceptual understanding of signal processing, CNN, LSTM, optimization functions, and related mathematical operations
•Very good knowledge in cloud computing platform and technologies (e.g. MS Azure)•Very good communications skills in English. German Language is also asset.
•Experience / Exposure with German OEMs and Tier-1 suppliers is a strong asset.Main
Responsibilities :
•Work on existing and future data handling solutions for artificial intelligence as well as for traditional use-cases
•Design, develop and implement the needed AI solutions for autonomous vehicles
•Coordinate, develop and provide core artificial intelligence methods and tooling such as multi-task learning, robustification, and network acceleration/compression
•Develop algorithms to generate metadata of big data sets for efficient data handling
•Setup of (cloud-based) training and CI/CD pipelines to deploy trained networks to our test vehicles
Job Type: Full-time
Salary: ₹3,600,000.00 – ₹4,800,000.00 per year
Schedule:
Supplemental pay types:
Education:
Experience:
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