Machine Learning Resident – Client: T.rex AI
Alberta Machine Intelligence Institute (Amii)
full-time
Posted on:
Location Type: Hybrid
Location: Edmonton • Canada
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About the role
- Design, implement, optimize, and evaluate models for energy consumption forecasting tasks.
- Work with large datasets for training, fine-tuning, and validating models.
- Utilize state-of-the-art modeling techniques and ML frameworks, tools and open-source libraries to enhance model performance, accelerate workflows, and optimize data processing.
- Undertake applied research on deep reinforcement learning and time-series analysis techniques to expand the capabilities of the current models.
- Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities.
- Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
- Engage in regular client meetings, contributing to presentations and reports on project progress.
Requirements
- Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in reinforcement learning.
- Proficient in developing, training and evaluating deep reinforcement learning agents.
- Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace).
- Solid understanding of classical statistics and its application in model validation.
- Familiarity with Linux, Git version control, and writing clean code.
- A positive attitude towards learning and understanding a new applied domain.
- Must be legally eligible to work in Canada.
Benefits
- Work under the mentorship of an Amii Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
- Build your professional network
- The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
energy consumption forecastingdeep reinforcement learningtime-series analysismodel evaluationmodel optimizationPythonclassical statisticsML frameworksmodel validationdata processing
Soft skills
collaborationcommunicationpresentation skillsclient engagementpositive attitude towards learning
Certifications
MSc in Computer SciencePhD in Computer Science