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 ML Engineer you’ll be

  • Creating and maintaining ML pipelines to operationalize ML models.
  • Developing & deploying low latency and highly scalable dockerized micro services.
  • Collaborating in cross-functional software/architecture design sessions to find the best solutions for the problems that we are facing.
  • Working with Peer ML engineers who will be responsible for scaling and deploying machine learning models for Tide.
  • Participating in an agile development team that delivers value iteratively.
  • Building ML platform to speed up develop & deploy cycle and monitoring of models in production.

What we are looking for :

  • You have at least 10+ years of development experience
  • You have experience leading a team of backend developers and/or ML engineers, coaching best practices and architecting solutions.
  • You have extensive development experience in Python, including development of microservices using e. g. Flask, Django, FastAPI, etc.
  • You have experience in building data solutions, both batch processes and streaming applications.
  • You are familiar with event-driven designs, specifically you have worked with Kafka, Pulsar, etc. before.
  • You have experience working in an agile team, dedicated to generating value in an iterative fashion.
  • You have worked with feature stores, ML Observability, and automated MLOps systems
  • Experience in batch processing frameworks.
  • You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment.
  • You have experience working with machine learning models before and know about the challenges faced when putting these into production.
  • Business-level of English and good communication skills.
  • Experience with Git and Docker.
  • Experience working with ML platforms is a plus.

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

  • Databricks on AWS 
  • Python Flask
  • Snowflake
  • Tecton - feature store 
  • Fiddler - model observability platform

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.

 

#LI-NN1

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