Helcim

Platform Engineer

• Design and implement end-to-end data pipelines across structured & semi-unstructured data to serve our machine learning models, AI systems’, and business intelligence needs.
• Expand upon our existing AI tooling to implement solutions for data analytics & data management needs.
• Help define our data governance needs and build out automations and AI tools to ensure our data platform matches them.
• Continuously improve our existing self-hosted data platform infrastructure while ensuring optimal performance.
• Enhance Helcim’s data centre of excellence by equipping teams with the necessary data and tools.
• Fostering broader interaction and contribution to the data platform by providing training, conducting code reviews, and co-designing solutions with other Helcim members.

Data Platform Engineer

Full-stack Engineer

• Be a key member of the software engineering team, understanding and translating product requirements into deliverables
• Write clean & tested code and deliver it as per project commitments
• Work in a highly collaborative environment with cross-functional teams
• Independently develop and design features within the financial payment and supporting systems
• Build Continuous Integration/Continuous Deployment (CI/CD) pipelines through GitLab
• Deploy and maintain projects through cloud infrastructure such as AWS or Google Cloud Platform
• Easily discover new insights through our BigQuery Data Warehouse

Software Engineer, Mid-Level

Product Designer

• Grow the team technically by leading design critiques, providing structured 1-on-1 feedback loops, and fostering a strong design culture.
• Push for innovation, constantly striving to improve the quality and impact of design work within the company.
• Bring a more quantitative and qualitative, data-driven approach to UX design by integrating insights from Pendo and other research methods.
• Own and maintain key UX KPIs, ensuring that design decisions align with measurable business and user outcomes.
• Work alongside Product and Engineering leaders to ensure seamless collaboration and execution.
• Advocate for and implement best practices in design systems, research methodologies, and UX processes across the team.

Product Design Manager

Data Scientist

• Develop and implement data products (AI, predictive models, segmentation strategies, and decision-making tools) to assess and mitigate risks.
• Work with business teams to find opportunities and develop valuable solutions that solve the right problems.
• Collaborate with stakeholders to embed data products within Operations’ processes.
• Monitor model performance and conduct ongoing evaluation and iteration to improve predictive accuracy and business impact.
• Collaborate with cross-functional teams to champion opportunities for data and AI to scale our impact.
• Partner with the Data Platform team to ensure data capture, cleanliness, system development and monitoring meet the needs of our risk mitigation efforts.
• Contribute to our MLOps strategy and support the implementation of data governance initiatives.