| Job Description: |
JOB DESCRIPTION - Software Engineer, Data Science Portfolio
WHAT YOU'LL DO
• 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:
o Git/Github Workflows
o Unit and Integration Testing
o CI/CD and multi environment deployments
o Code reviews
o 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:
o Experience with Data Science ML or Operations Research (optimization, MIPs)
o Curious about machine learning concepts and eager to bridge the gap between research and production
REQUIRED SKILLS:
Languages Python • Java (Good to Have)
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.
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