Sr. ML Engineer (Python developer)

3 Minutes ago • 5 Years +

Job Summary

Job Description

The Sr. ML Engineer will be responsible for shaping and owning the ecosystem that productizes core data products. This role involves close collaboration with the Data teams to influence data consumption and integration, designing new ML solutions, finding innovative solutions for real-time analytics, and building complex data pipelines. The engineer will design and develop data-centric infrastructure tools, implement next-generation ML workloads using modern Big Data technologies, and create end-to-end data pipelines. The role requires working closely with Data Science, Data Engineering, and Data Analytics teams, as well as other R&D teams to incorporate best practices and monitor system performance.
Must have:
  • 5+ years of backend/ML infra engineering experience.
  • 5+ years of hands-on Python programming experience.
  • Experience with AWS ecosystem and container technology (e.g. Docker, K8S)
  • Exceptional communication and collaboration skills.
  • Ability to quickly learn new technologies independently.
  • Proactive, result-driven, and a multi-tasker.
Good to have:
  • Experience with AWS SageMaker.
  • Experience with databases such as PostgreSQL Redshift, Neptune.
  • Experience with monitoring tools like Grafana, Sentry, Opensearch.
  • Experience working Python ML libraries (e.g. Pandas, Numpy, Scikit Learn).
  • Experience working with Airflow.
  • Experience in working with Jenkins based CI/CD.
  • Experience with streaming and real time analytics systems.
Perks:
  • Excellent group health coverage and life insurance
  • Stock options
  • Hybrid work model
  • Meal allowance
  • Transportation assistance (terms and conditions apply)
  • Generous paid time off plan, Holidays
  • Company-sponsored mental health benefits
  • Financial advisory services for both short- and long-term goals
  • Learning and development opportunities to support career growth
  • Community-based volunteering opportunities

Job Details

About Bluevine

Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence.

Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 500,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed.

At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact?

In this role, you will shape and own the ecosystem that productizes our core data products -  you will work closely with our Data teams and influence how data is consumed and integrated throughout the organization, take an integral part on the designing of new ML solutions, find innovative solutions for real-time analytics, and build complex data pipelines.

What You'll Do:

  • Support Bluevine’s business and research Data teams by designing and developing data-centric infrastructure tools to facilitate and enhance Data Analytics and Research, both in real-time and offline.
  • Help design and implement next-generation ML workloads, focusing on modern, efficient Big Data technologies.
  • Use pipeline orchestration tools such as AirFlow,  ML platforms such as SageMaker, and data frameworks to design and develop first-in-class solutions for the financial sector.
  • Design and develop end-to-end data pipelines, from data collection, through data validation and transformation, to making the data available to processes and stakeholders.
  • Work closely with Bluevine’s Data Science, Data Engineering and Data Analytics teams.
  • Work closely with Bluevine’s other R&D teams to help incorporate industry best practices, define and enforce data governance procedures, and monitor system performance

What We Look For:

  • Bachelor or Master in Computer Science or related field
  • 5+ years of full-time work experience (not including internships, study, personal/school projects) as a Backend engineer/ML Infra engineer in a fast-paced, data-centric environment.
  • 5+ years of hands-on Python programming experience (not including internships, study, personal/school projects).
  • Experience with AWS ecosystem and container technology (e.g. Docker, K8S)
  • Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
  • Be a quick learner, adaptable and have the ability to work independently or as part of a team in a fast-paced environment
  • Ability to quickly and independently learn new technologies, frameworks, and algorithms.
  • Proactive, result-driven and multi-tasker; creative but committed to meeting deadlines.
  • Very good English, written and verbal.

Bonus points if you also have:

  • Experience with AWS SageMaker
  • Experience with databases such as PostgreSQL Redshift, Neptune
  • Experience with monitoring tools like Grafana, Sentry, Opensearch
  • Experience working Python ML libraries (e.g. Pandas, Numpy, Scikit Learn)
  • Experience working with Airflow
  • Experience in working with Jenkins based CI/CD
  • Experience with streaming and real time analytics systems

#LI-MS1

#LI-Hybrid

Benefits & Perks

  • Excellent group health coverage and life insurance
  • Stock options
  • Hybrid work model
  • Meal allowance
  • Transportation assistance (terms and conditions apply)
  • Generous paid time off plan, Holidays
  • Company-sponsored mental health benefits
  • Financial advisory services for both short- and long-term goals
  • Learning and development opportunities to support career growth
  • Community-based volunteering opportunities

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About The Company

Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.As a dynamic company with massive potential, we’re backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success.

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