Software Engineer, Data Science Portfolio

Diverse Lynx is a company seeking a Software Engineer for their Data Science Portfolio. The role involves software engineering with a focus on machine learning systems, backend engineering, and collaboration with data scientists and product managers.

Responsibilities:

• Software engineering experience, ideally with exposure to ML systems
• Strong backend engineering skills (Python and Java preferred)
• Experience building APIs, services, and production systems
• Solid software engineering fundamentals:
• Git/Github Workflows
• Unit and Integration Testing
• CI/CD and multi environment deployments
• Code reviews
• OOP and good class/object design practices
• Experience with cloud infrastructure and distributed systems
• Ability to work closely with data scientists operations research engineers and product managers
• Comfortable owning features end-to-end with minimal oversight
• Strong troubleshooting and operational support mindset
• Bonus:
• Experience with Data Science ML or Operations Research (optimization, MIPs)
• Curious about machine learning concepts and eager to bridge the gap between research and production

Requirements:

• Software engineering experience, ideally with exposure to ML systems
• Strong backend engineering skills (Python and Java preferred)
• Experience building APIs, services, and production systems
• Solid software engineering fundamentals
• Git/Github Workflows
• Unit and Integration Testing
• CI/CD and multi environment deployments
• Code reviews
• OOP and good class/object design practices
• Experience with cloud infrastructure and distributed systems
• Ability to work closely with data scientists operations research engineers and product managers
• Comfortable owning features end-to-end with minimal oversight
• Strong troubleshooting and operational support mindset
• Languages: Python
• Java
• Data Engineering No SQL Databases (Cosmos), Databricks, Real time data streaming - Message queues, stream and stateful processing
• MLOps / Dev Ops Docker
• Kubernetes
• CI/CD pipelines
• FastAPI / Flask
• Cloud & Infra Azure
• Any other cloud
• SE Fundamentals Git & version control
• Unit & integration testing
• Data structures & algorithms
• Fron End Good to have React/Angular
• Backend Backend skills - Rest API's
• Experience with Data Science ML or Operations Research (optimization, MIPs)
• Curious about machine learning concepts and eager to bridge the gap between research and production