Sr. ML Engineer (Python developer)

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

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