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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.
- 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.
- 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.
- 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.
- 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
Key Skills
Ranked by relevance
ai
tensorflow
pytorch
python
docker
pandas
numpy
cicd
c
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- Posted
- Mar 14, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Yverdon
- Company
- Ecorobotix
Industries
Farming
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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AI / ML Software Engineer
2026-04-03
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France
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Engineering
View Job Details
Related
Software Engineer - Validation
2026-05-27
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Not Applicable
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View Job Details
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Senior Genrative Ai Engineer - Remote
2026-05-28
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Engineering