AI / ML Software Engineer
Role details
Job location
Tech stack
Job description
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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.
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Computer Vision & Image Analysis - Process and enhance visual data to identify, classify, and extract relevant features from plant images.
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AI Model Operational Releases - Train and refine AI models to detect and classify plant species, generate actionable insights, and deliver reliable production-ready model releases throughout the year.
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AI Model Optimization for Classification & Extraction - Improve model performance for plant classification and information extraction through targeted experimentation, tuning, and architecture refinement.
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Internal Tooling POC - Prototype and validate internal tools for batching, annotation, metadata generation, evaluation workflows, and training workflows to improve development efficiency and consistency.
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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.
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Scalable Code & Collaboration - Maintain optimized, peer-reviewed code to support teamwork, innovation, and long-term maintainability across AI development teams., 4.9
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Salary and benefits 4.3
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Career opportunities 4.7
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Working atmosphere 4.9
Based on 16 reviews
Requirements
- Ph. D. or master's degree in computer science, Robotic, Electrical Engineering or 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 - Provides insightful feedback to enhance code quality and team collaboration.
Benefits & conditions
Transport
Handicap
High degree of flexibility.
Formation
The company is paying for 60% of pension fund's contributions.
Parking
Party
