- Maintain and expand critical data services and lake house architecture at the heart of a $10B+/yr revenue business in real estate
- Collaborate with global cross-functional teams such as Research Scientists, Product Partners and Partner Team Developers to deliver ML impact reliably at scale
- Leverage industry-leading PaaS/SaaS solutions such as Databricks / AWS; architect and code the specialized internal frameworks and platforms that support an industry-leading real estate ML ecosystem
- Design and lead implementation of batch/online inference pipeline with champion/challenger model testing
- Unite existing pipelines across data, ML, and platform teams to handle low-latency, high data volume use cases in production inference workflows
- Define golden path build and release processes for ML models and pipelines in truly production-critical contexts ($30+M/day in transactions)
- Identify opportunities to improve the scalability, resiliency, and cost efficacy of GPU training and inference workflows
- Design and lead implementation of a low-touch, automated model CI/CD pipeline
- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field
- 6+ years of experience working as an ML/software engineer supporting Data/ML organizations
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, CI/CD and testing methodologies
- Proficiency with programming languages like Go/Python and systems design and data modeling
- Fluency with workflow management tools like Airflow or dbt
- Experience with modern data warehouses like Snowflake, Databricks, or BigQuery, and data processing technologies such as Spark and Kafka
- Experience with mode experiment tracking, model registries and feature stores such as MLFlow, DVC, Feast, and Weights and Biases. Experience with ML observability and governance is also desirable
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Machine Learning Engineer - india, India - Opendoor
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Description
Role Responsibilities :#LI-Hybrid #LI-RJ1
More About Us To learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.