AI ML Engineer

Vor 6 Tagen

Yverdon, Schweiz ecoRobotix SA Vollzeit

Your missions:

  • Continuous Research & Paper Reviews – Keep up with the latest advancements by reviewing academic research, integrating state-of-the-art methodologies, and refining AI models for higher accuracy and efficiency.
  • Computer Vision & Image Analysis – Process and enhance visual data to identify, classify, and extract relevnt features from plant images.
  • AI Model Optimization for Classification & Extraction – Develop and optimizes AI models to detect and classify plant species and extract insights.
  • MLOps for Automation & Optimization – Streamline AI workflows by enhancing visualization tools, evaluation pipelines, and training pipelines, ensuring efficient model deployment for edge robots and annotation tasks.
  • Comprehensive Documentation & Documented Code – Ensure all AI models, algorithms, and processes are well-documented for transparency, reproducibility, and seamless collaboration. This includes structured technical reports, inline code documentation, and process flow descriptions.
  • Scalable Code & Collaboration – Maintain optimized, peer-reviewed code to support teamwork, innovation, and long-term maintainability across AI development teams.

Your profile:

  • Ph. D. or Master degree in Computer science, Robotic, Electrical Engineeringor a related field with strong orientation in Machine Learning.
  • Proficiency in English and French, both spoken and written.

You have:?

  • Industry & Research Background – Minimum 3 years of industry experience or 5+ years in applied research and development within an academic institution.
  • Programming Expertise –Proficiency in Python, with additional experience in other languages (C++, CUDA, and others) appreciated. Familiarity with Docker and Ubuntu, along with an understanding of CI/CD pipelines, would be highly valued.
  • Computer Vision & Image Processing – Strong knowledge of OpenCV and related tools for visual data processing.
  • Machine Learning & AI Frameworks – Hands-on experience with PyTorch, JAX or TensorFlow for AI model development and optimization.

You are familiar with:

  • MLOps & Automation Tools –model training pipelines, evaluation workflows, and visualization tools to streamline AI development.
  • Dataframe Manipulation & Selection – At ease in handling large datasets using Pandas, NumPy, and other data processing libraries for efficient data selection, filtering, and preprocessing.
  • Deployment & Optimization – TensorRT, or other AI deployment frameworks for efficient model inference on edge devices.

Your soft skills:

  • Proactive & Autonomous – Demonstrates strong initiative and the ability to work independently.
  • Team-Oriented & Adaptable – Thrives in fast-paced environments and collaborates effectively with diverse teams.
  • Passionate & Curious – Eager to take on new challenges, even beyond core expertise.
  • Analytical & Agile – Approaches work with a structured mindset while quickly adapting to new inputs and evolving requirements.
  • Environmentally Conscious – Committed to sustainability and green technology initiatives.
  • Constructive Code Reviewer – Provid

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