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Cette offre d'emploi est rédigée en anglais pour des raisons de simplicité. La maîtrise des deux langues (français et anglais) est préférable.
Yeji Data Lab, a global consultancy firm based in Montreal, Quebec, is on the frontier of using advanced Machine Learning techniques to address our clients most complex challenges and unlock business value. Our diversified clientele spans North America, with ambitions to expand our footprint globally. Embark on a journey with us and play a pivotal role in shaping the future of decision-making.
We are currently searching for Full Stack Software Engineers to collaborate with our exceptional team of business and AI specialists at Yeji Data Lab. The ideal candidate should possess a solid background in technology and business as well as a strong comprehension of the tech and Artificial Intelligence industries.
We are a partner of Mila, the Quebec AI institute, and work in a hybrid mode - with shared workspace in the Mile-Ex.
Responsibilities:
- Work alongside the Data Science project lead to develop, implement, and maintain statistical models and algorithms to extract insights from data.
- Collect, clean, and manipulate large datasets.
- Conduct EDAs.
- Identify and analyze trends and patterns in complex data sets.
- Develop data visualizations and reports to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand business requirements and provide insights and recommendations.
- Use statistical and machine learning models to generate impactful predictions from data.
- Prepare high impact storylines and presentations for clients.
- Work closely with the engineer to integrate data science models into production systems, ensuring scalability and real-time processing.
- Implement best practices in model versioning, monitoring, and maintenance to ensure sustained model performance over time.
- Proactively identify potential pitfalls and challenges in moving models from development to production environments and devise strategies to overcome them.
- Document model architectures, methodologies, and validation results to provide clear guidelines for model usage and troubleshooting.
- Stay updated with the latest advancements in machine learning deployment techniques and tools, and champion the adoption of relevant technologies to improve model deployment and management processes.
- Monitor deployed models' performance regularly, and recalibrate or fine-tune as needed to maintain optimal results.
Qualifications:
- Bachelor’s, Master’s, or PhD degree in Computer Science, Cognitive Neuroscience, or a related field.
- Excellent analytical skills with experience in statistical modeling and analysis.
- Proficiency in at least one programming language (Python, R, or similar).
- Familiarity with data visualization tools such as Matplotlib, Plotly, Tableau or Power BI.
- Experience with training machine learning models for regression and classification.
- Strong problem-solving skills and attention to detail.
- Strong ability to communicate technical concepts to non-technical stakeholders.
- Knowledge of both English and French is preferred
If you're enthusiastic about harnessing operations research to revolutionize business strategies and crave continuous learning in a vibrant setting, we're eager to hear from you.
Apply now
