Tide is hiring a
Staff Engineer(Machine Learning)

Summary

Join us in our mission to empower small businesses and help them save time and money. As a Staff Engineer in the Machine Learning team, you will be creating & maintaining distributed backend systems to operationalise ML models that are built and trained by our team of Data Scientists.

Requirements

• You have strong backend development experience and exposure to system design
• You have extensive development experience in Python, including development of microservices using a web-framework (Flask, FastAPI, etc)
• You have experience in building data solutions, both batch processes and streaming applications
• You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
• You have experience working in an agile team, dedicated to generating value in an iterative fashion
• Business-level of English and good communication skills
• Experience with Git, Docker, and setting up CI/CD pipelines
• Exposure to Cloud providers - architecting solutions using managed services
• You are familiar with event-driven systems, with experience in Kafka or similar technologies
• You have experience leading and managing a team of backend developers, coaching best practices and architecting solutions

Responsibilities

• Creating & maintaining distributed backend systems to operationalise ML models that are built and trained by our team of Data Scientists
• Developing & deploying low latency and scalable containerised microservices
• Collaborating in cross-functional software architecture design sessions to find the best solutions for the problems that we are facing
• Participating in an agile development team that delivers value iteratively, maintains and monitors prod systems
• Building an MLOps platform to speed up develop & deploy cycle and monitoring of models in production
• Building complex batch and streaming data processing pipelines
• Leading and mentoring a team of backend engineers, by learning and sharing knowledge on new things often, as we believe in experimentation, T-shaped engineering and collaborative learning for career growth
• Collaborating with the product team to plan extensive roadmaps for new and existing initiatives
• Joining our Data & AI Community of Practices, and your input on how to improve processes and maintain high quality across the team will be very welcome

Benefits

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH Setup allowance
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities
• Stock Options