• This Platform Engineer will be part of the team responsible for designing and implementing data and ML platform components to enable data engineering, data science, and product teams to build data- and ML-driven features, ensuring scalability, reliability, and seamless integration across workflows
• Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources
• Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems
• Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments
• Provide expertise on industry best practices, tools, and technologies in ML engineering
• Drive the continuous improvement of data and ML workflows through automation and innovative solutions
• Take full ownership of projects, ensuring successful delivery from planning to execution
• Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions

Benefits

• Stock Options
• Paid parental leave
• Generous paid time off options
• Offsites, customer days & social events
• Work from Anywhere Month
• Medical, dental, and vision insurance
• 401(k) matching program
• Pre-tax commuter benefits
• Snacks + lunch on us at hub offices
• MasterClass at Work for ongoing learning
• Group health benefits coverage
• Snacks + lunch on us at hub offices
• Group RRSP with employer match + TFSA
• MasterClass at Work for ongoing learning- Proficient in building model serving pipelines for batch, streaming, and real-time inference
• Expertise in SQL, Python, and Databricks
• Strong problem-solving skills with a strategic mindset and attention to detail
• Proficient in building and deploying machine learning models (including language models)
• Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems
• Effective communicator and collaborator across technical and non-technical stakeholders
• Proficiency in data modeling and database design
• 5+ years of software development experience, specializing in data and ML
• Experience with Airflow, Kafka, and Redshift
• Experience comes in many forms—so if you’re excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!- Meet the Talent Acquisition team, Mavel W
• Meet the Hiring Manager, Kanchana P
• Participate in a Talent Showcase
• Meet Cross-functional Partners
• Background Check + Offer Stage
• Welcome to the team, Homie