Machine Learning Resident

2 weeks ago

Edmonton, Canada Alberta Machine Intelligence Institute Full time

Taher Abbasi, Machine Learning Scientist

**About the Role**

**About the Client**

Frontline production has maxed out well below capacity. Organizations are limited by today’s tools and a focus on incremental change. Smart Access is helping these organizations double frontline productivity by closing the gap in associate performance, through unified programs, data, intelligence, and actionable insights. Thrust past their previous capacity, these organizations will achieve advanced, consistent, and sustainable levels of productivity, proficiency, retention, and engagement.

Founded in Edmonton, Smart Access has team members and customers throughout Canada and the United States. They work with large food distributors, 3PL, and retailers like Home Depot, Whole Foods, Yokohama and DICK’S Sporting Goods, and are driving performance, scaling optimization and consistency.

**About the Project**

A major component of our roadmap is automating the production of content, eliminating repetitive tasks, and providing actionable insights through the use of artificial intelligence. The initial scope for this project is leveraging generative AI to develop various content and performance programs from standard operating procedures, delivering insights and predictions from multiple operational systems and datasets, and providing next-best-action guidance for operations.

**Required Skills / Expertise**

Are you passionate about building great solutions? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning and Natural Language Processing, specifically Large Language Models (LLMs).

**Key Responsibilities**:

- Design, implement, and optimize ML algorithms for predictive modeling and Natural Language Processing (NLP)
- Identify, prepare, and optimize large datasets for ML training
- Undertake applied research on ML techniques to address the limitations in existing models
- Collaborate with project team and stakeholders to develop MVP and client focused solutions
- Participate in regular meetings with the client, preparing presentations and reports
- Develop data and ML workflows; Optimize ML pipelines for efficiency, scalability, and real-time processing
- Support the productionalization and deployment of models in client environment

**Required Qualifications**:

- Completion of a graduate level program or higher (M.Sc/Ph.D) in Computing Science, ML or Engineering
- Familiarity with and hands-on experience with the state-of-the-art open-source LLMs (e.g., through HuggingFace)
- Experience using NLP tools and techniques
- Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Keras, Tensorflow, PyTorch, Pandas, Jupyter notebooks, Transformers, DeepSpeed, HuggingFace Datasets)
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada

**Preferred Qualifications**:

- Hands-on experience in AI/ML development projects
- Familiarity with OpenAI technologies (e.g., GPT, DALL-E, Codex) to augment LLM capabilities
- Statistical analysis and hypothesis testing
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning

**Non-Technical Requirements**:

- Desire to take ownership of a problem and demonstrated leadership skills
- Interdisciplinary team player enthusiastic about working together to achieve excellence
- Capable of critical and independent thought
- Intellectual curiosity and the desire to learn new things, techniques, and technologies

**Why You Should Apply**

Besides gaining industry experience, additional perks include:

- 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)

**About Amii**

One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

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