Overview
Sensor Reply is seeking a Data Scientist / Embedded Software Engineer to join our team. This role involves designing, implementing, and optimizing data-driven solutions across industries, leveraging analytics, machine learning, and modern data engineering practices to deliver actionable insights and support decision-making.
Role and Location
📍Location: Turin, Italy
Key Responsibilities
- Design, train, and optimize machine learning models for deployment on edge devices.
- Develop data processing and inference pipelines integrated into embedded or IoT environments.
- Contribute to research and experimentation on new Edge AI architectures and frameworks.
- Contribute to innovation in industrial IoT by developing AI systems that run in real time across diverse platforms.
- Collaborate with cross-functional teams to translate business needs into a scalable data-driven solution.
Qualifications and Skills
- Master’s degree in Computer Engineering, Computer Science, or related field.
- Solid foundation in data science, ML pipelines, and MLOps practices.
- Strong proficiency in Python and at least one systems language (C/C++).
- Experience with deep learning frameworks (TensorFlow, PyTorch, ONNX Runtime).
- Experience developing on embedded platforms (ARM Cortex, Raspberry Pi, NVIDIA Jetson, etc.).
- Familiarity with containerization tools (Docker, Podman) and Linux environments.
Nice-to-Have Skills
- Background in Computer Vision or Sensor Fusion.
- Understanding of lightweight generative models (TinyML, model distillation).
- Comfortable with Linux systems.
- Experienced in building low-latency video pipelines using both GStreamer and OpenCV.
- Familiarity in building custom embedded Linux images with Yocto/BitBake (layers, recipes).
Soft Skills
- Ability to work in multidisciplinary teams (data scientists, DevOps, product engineers).
- Strong documentation practices for processes and architectures.
- Creative problem-solving with a pragmatic approach.
- Curiosity and interest in AI, automation, and experimenting with new technologies.
- Excellent analytical and communication skills.
- Fluency in English and Italian.
What We Offer
- A dynamic and innovative work environment focused on cutting-edge technologies.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits packages.
- A collaborative culture with a focus on solving real-world problems using data science.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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