Builds machine learning workflows and infrastructure necessary to productize AI models and sustain them in production. Responsible for preparing data for ML models at scale, building appropriate inference interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI productization platforms.
Qualifications
Minimum requirements:
MSc or PhD in a relevant field (Mathematics, Physics, Computer Science)
5+ years experience in the following areas:
Software libraries design and architecture
Performance engineering and software performance optimizations
Mathematics, preferably linear algebra solvers, matrix-vector operations, and Fast Fourier Transforms
Algorithms and data structures
C and C++
Software development on Linux
Low level optimizations for Intel Architecture processors, OpenCL, SYCL/DPC++, C for Metal or CUDA
Parallel programming (OpenMP, TBB, or MPI)
Preferred qualifications:
3 years+ High performance computing (HPC) applications development
1 year+ Machine learning and deep learning algorithms
1 year+ Agile software development environment
1 year+ Intel development tools.
Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.
Work Model for this Role
This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.
Get email alerts for the latest"Machine Learning Engineer (m/f/d) jobs in Munich"
