Staff Engineer(Machine Learning)

About Tide : 

At Tide, we are building a finance & admin platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting.

Launched in 2017, Tide is now the leading business financial platform in the UK with 575,000 SME members (10% market share) and more than 250,000 SMEs in India. Headquartered in London, Tide has over 1,800 Tideans across the UK, Bulgaria, India, Serbia, Romania, Ukraine and Germany. 
Tide is rapidly growing, expanding into new markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money.   

About the role :

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
• 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

What we are looking for :

Tide is seeking extraordinary backend engineers for the Data & AI team, to lead our efforts in developing cutting-edge solutions. The ideal candidate will have:

• 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

Nice to Haves: 

• You have worked with feature stores, ML Observability and/or automated MLOps systems
• Experience in batch processing/data frameworks (Airflow, Spark, Databricks, etc.)
• You have experience working with machine learning models, and know about the challenges faced when putting these into production

Our Tech Stack (You don’t have to excel in all, but willing to learn them):

• Python, Flask, Faust
• AWS, Docker, GitHub
• Airflow, Snowflake
• PostgreSQL
• Databricks
• Kafka
• K8S

What you’ll get in return:

Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get:

• 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

Tidean Ways of Working :
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

Tide is a place for everyone : 
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. 
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.

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