Principal Data Product Manager - Machine Learning / AI
Tasks
- Advocate for data-driven culture and ML AI solutions
- Analyze performance data to optimize outcomes
- Champion agile methodologies
- Collaborate with data scientists and ML engineers to ensure feasible solutions
- Communicate requirements and acceptance criteria to engineering
- Coordinate data flow and model deployment
- Define KPIs and success metrics for ML AI solutions
- Gather and synthesize stakeholder requirements
- Identify and prioritize high-value ML AI use cases
- Manage ML AI product roadmap and expectations
- Own product vision and roadmap for ML AI solutions
- Partner with engineering teams to transform product requirements into scalable ML pipelines
- Present product updates and vision to stakeholders
- Stay current with ML AI trends and best practices
Perks/Benefits
Skills/Tech-stack
AI | AWS | Agile | Airflow | Data Science | Docker | Kubernetes | Lifecycle Management | ML pipelines | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | PyTorch | Spark | TensorFlow
Education
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