Internship AI-pipeline throughput optimization

France

Nokia

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The goal of the internship is to optimize the processing time of an ML-based pipeline for anomaly detection. The intern will work on studying and identifying the bottlenecks in the pipeline processing and implement an optimization mechanism to combat the bottlenecks and decrease data processing time. This optimization can consider one or many aspects:

  • Convert some parts of the pipeline into more time-efficient languages (C, C++)
  • Running multiple instances of the pipeline on multiple containers
  • Optimize the ML models using techniques like model compression

The intern is required to implement the optimization mechanism, in order to reach the targeted throughput, and test its impact on the whole end-to-end pipeline.

 

The goal of the internship is to optimize the processing time of an ML-based pipeline for anomaly detection. The intern will work on studying and identifying the bottlenecks in the pipeline processing and implement an optimization mechanism to combat the bottlenecks and decrease data processing time. This optimization can consider one or many aspects:

  • Convert some parts of the pipeline into more time-efficient languages (C, C++)
  • Running multiple instances of the pipeline on multiple containers
  • Optimize the ML models using techniques like model compression

The intern is required to implement the optimization mechanism, in order to reach the targeted throughput, and test its impact on the whole end-to-end pipeline.

 

  • 2 nd year Master of Science in computer science, applied mathematics or related fields.
  • Practical experience on C, C++ and python programming for data science. 
  • Practical experience on supervised and unsupervised algorithms (quantization, pruning). 
  • Containerization & orchestration (Docker, Kubernetes, Helm).
  • Knowledge of mobile network traffic protocols. 
  • Knowledge of security and cyber-attacks. 
  • Having experience with network traffic analyzer tools such as Wireshark.
  • Concurrency & Performance: multithreading.
  • Packet Processing: DPDK or PF_RING; TCP/IP stack tuning & NIC offloads: eBPF/XDP experience (is a plus)
  • Linux Internals: kernel performance tooling (perf, ftrace, BPF tools), system‑level debugging (is a plus)

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.
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Category: Deep Learning Jobs

Tags: Computer Science Docker Helm Kubernetes Linux Machine Learning Mathematics ML models Python Security

Region: Europe
Country: France

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