Location : Onsite - Calgary, AB
Duration : 1 year
Description:
Responsibilities
- Participate in team planning sessions
- Responsible for building and optimizing ML models and data pipelines
- Provide software development expertise to data analytics teams and data scientists within the organization
- Review and discuss requirements and estimate implementation effort
- Participate in experiments and prototype solutions
- Collaborate with architects, data scientists, business- and product teams to develop ML solutions
- Design and implement operational aspects of model deployment including automation, monitoring, drift detection, etc.
- Apply software development best practices to models from prototypes for better maintainability
- Test and debug application code
- Perform code reviews and give constructive feedback for improvements
Required Qualifications
- BSc. or MSc. degree in Computer Science, Engineering, Math, Physics, Statistics, or equivalent.
- Minimum 3+ years of experience in delivering AI/ML projects
- Minimum 2+ years as a software developer in a delivery team
- This is a software development role with a strong focus on ML and AI solutions, therefore we look for solid knowledge of software development best practices (test driven development, CI/CD, etc.)
- Expertise in at least two common languages (Java, Python, C#, etc.)
- Working experience with general Python data packages and building solutions in AWS
- Good knowledge of relational and non-relational databases and query engines (e.g. SQL)
- Proficient with statistical concepts and applying statistical thinking to solve business problems
- Working knowledge of DevOps practices and automation
- Excellent knowledge of ML algorithms/techniques as well as Agentic solutions with the ability to build and optimize models without major supervision
- Strong testing and debugging skills
- A positive, team-focused, results-oriented attitude, and strong collaboration skills
Preferred Qualifications
- Experience in building data pipelines
- Some familiarity with web frontend development
- Working knowledge of the AWS ecosystem or keen interest in diving deep into AWS services
- Experience and familiarity with platforms like Databricks.
