AI Data Engineer

Kinaxis

Kinaxis, a global leader in supply chain management, empowers industries with innovative solutions that enrich the human experience. Originating from a small engineering team in 1984, Kinaxis now boasts over 2000 employees worldwide, helping clients solve complex supply chain challenges. As a top Canadian employer, Kinaxis is committed to sustainability and excellence in end-to-end supply chain solutions.

In this role you can expect to have the responsibilities:

• Develop large-scale software systems ensuring maintainability and scalability.
• Troubleshoot and enhance cloud-based AI solutions.
• Ensure software reliability through cross-functional stakeholder engagement.
• Create ETL pipelines and data models for scalable machine learning applications.
• Work with distributed computing and big data frameworks.
• Develop machine learning pipelines and models.

This role comes with the following benefits:

• Flexible vacation policy and company-wide days off.
• Flexible work options.
• Physical and mental well-being programs.
• Virtual fitness classes.
• Mentorship, training, and career development programs.
• Employee recognition programs and referral rewards.
• Participation in hackathons.

This role requires you to have:

• BS or MS in Computer Science or Software Engineering or equivalent experience.
• Experience with data modelling, streaming, and transformation.
• Proficiency in Python and SQL, including advanced functions.
• Experience with Kubernetes, Docker, and big data frameworks.
• Strong customer orientation and excellent communication skills.

You would benefit from having:

• Experience with data manipulation using Spark and Pandas.
• Knowledge of supply chain management and demand planning.
• Understanding of ML modelling processes, feature generation, and hyper-parameter tuning.

Kinaxis emphasizes diversity, equity, and inclusion, with a focus on fair recruitment processes and sustainability. Accommodations are available for candidates with specific needs.