Data Scientist Ai

This role is part of our Automated Vision Systems product line.
The Data Scientist contributes to the development of artificial intelligence solutions focused on image analysis and visual recognition. Working closely with technical and product teams, this person designs, trains, and optimizes computer vision models, ensuring their robustness, performance, and efficient deployment. They play a strategic role in data selection, model architecture, and the integration of best practices in data science.
Be a part of something bigger.
At Eddyfi Technologies, we’re proud to push the boundaries of innovation to support the industries the world depends on every day. From energy and transportation to infrastructure and beyond, our technologies help protect critical assets, safeguard the environment, and ultimately, save lives.
As a world-renowned company, we’re behind some of the most advanced systems in the world—delivering cutting-edge solutions through ET & UT, Remote Monitoring, Nuclear Steam Generators, Automated Vision Systems, and Robotics. And we’re just getting started.
If you’re passionate about technology and want your work to make a real impact, we’d love to hear from you.
Our values
- We are customer-centric
- We innovate with a purpose
- We are results-oriented
- We are team players

**Joining our team means**:

- Collaborating with experts dedicated to innovation and excellence in a dynamic environment.
- Becoming part of an organization that values commitment, initiative, and collaboration to help achieve common goals.
- Joining a rapidly expanding company offering long-term development and success opportunities.
- Contributing to meaningful projects that create a lasting impact.

As Data Scientist AI, you must be able to
- Collaborate with stakeholders to identify business needs, transform problems into concrete analytical solutions, and propose tailored approaches.
- Identify relevant data for model training, oversee data annotation, and optimize the data pipeline with the infrastructure team.
- Develop and train image segmentation, object detection, and keypoint localization models using a variety of rigorously tested architectures.
- Develop, train, and test different computer vision models (segmentation, object detection, and keypoints).
- Optimize model hyperparameters using automated optimization tools such as Optuna.
- Evaluate model performance using rigorous metrics and systematically identify areas for improvement.
- Adapt models for deployment, including conversion to ONNX format and integration of preprocessing and postprocessing steps.
- Stay up to date with advances in artificial intelligence to integrate best practices into projects.

What makes you an asset to our team
- Bachelor’s, Master’s, or PhD in computer engineering, software engineering, mathematics, operations research, statistics, artificial intelligence, or a related field.
- Five (5) years of relevant experience.
- Knowledge of workflow management tools (e.g., Metaflow) or code configuration tools (e.g., Hydra) is an asset.
- Experience developing clean, structured code within a large-scale project, using tools such as Git, GitLab, and pytest for testing.
- Relevant experience in data modeling, predictive analytics, or machine learning.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn).
- Knowledge of data processing environments (e.g., Pandas, Spark, Hadoop) is an asset.
- Excellent analytical, communication, and knowledge-sharing skills.
- Strong analytical mindset and scientific rigor.
- Autonomy and initiative.
- Ability to explain technical concepts to non-technical audiences.
- Strong organizational and prioritization skills.
- Results-oriented and problem-solving mindset.
- Intermediate English proficiency (spoken and written).

LI-Hybrid