AI ML Engineer 80/100%

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 – Provides insightful feedback to enhance code quality and team collaboration. 

Ecorobotixoffersan enjoyableworkplace: 

• Dynamic & Flexible Work Environment –Enjoy a stimulatingworkplacewithflexibility, a supportiveatmosphere, and access to continuous training.Five weeks of holidays.And partial remote working is also possible (up to 2 days a week). 
• Attractive Retirement Plan – Secure your future withan advantageous pension fund plan. 
• Commuter Support – Partial coverage of public transport costs to easeyourdaily commute. 
• Team-Building Activities – Engage in quarterlyteamevents to foster collaboration and connection. 
• Immediate Start –Join us as soon as possible and be part of an excitingjourney! 

Startingdate: As soon as possible. 

Ecorobotix is an equalopportunity employer. 

We look forward to receiving your application and exploring how you can contribute to the success of Ecorobotix!