Lead Machine Learning Engineer (MLOps) Romania

At Tide, we are building a business management 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 used by over

1 million small businesses

across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees.

Tide is rapidly growing, expanding into new products and 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 Lead ML Engineer youll be: Working closely with product owners, other backend (Java & Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality. Integrate already trained ML models in some of the services you develop. Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members. Regularly aligning your teams vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives WHAT WE ARE LOOKING FOR

Proven work experience as a Backend Python Engineer (Senior/Lead) Understanding of software engineering fundamentals (OOP, SOLID, etc.) Hands-on experience with frameworks such as Django, FastAPI or FlaskAPI Extensive experience integrating with or creating REST APIs Experience with creating and maintaining CI/CD pipelines - we use GitHub Actions. Experience with event-driven architectures Experience with AWS (Great to have) Experience with integrating ML models, Databricks, ML feature store solutions, Kafka (or other message brokers) OUR TECH STACK (You dont have to excel in all, but willing to learn them):

Databricks on AWS Kafka ArgoCD DataDog Python Flask Snowflake Tecton - feature store TIDEAN WAYS OF WORKING

At Tide, we champion a

flexible workplace

model thatsupports 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. #LI-MP1 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 everyones voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyones voice is heard. Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile What are your base salary expectations? * What is your availability to start? (notice period) * #J-18808-Ljbffr