This is a hybrid role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.

ABOUT THE ROLE

As a Machine Learning Software Engineer in our team, 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 teams by designing and developing data-centric infrastructure tools to facilitate and enhance Data Analytics and Research, both in real-time and offline.
• 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.
• Work closely with BlueVine’s Data Science 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

• 2 years of experience as an engineer/big-data developer in a fast-paced environment.
• 2 years of hands-on experience programming in Python.
• Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
• 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.

Nice to haves:

• BSc/BA in Computer Science or related field.
• Experience with AWS ecosystem, microservices and container technology (e.g. Docker, K8S).
• Experience with building Big Data pipelines and using tools and frameworks such as Spark, Hadoop, etc.
• Experience working Python ML libraries (e.g. Pandas, Numpy, Scikit Learn).
• Experience working with git in a github setup and Jenkins based CI/CD