Machine Learning Principal Solutions Architect
Tasks
- Collaborate with Data Scientists, ML Engineers, and Data Engineers
- Conduct discovery workshops and client engagements
- Create ML development training and testing environments
- Create reusable reference architectures and templates
- Define production infrastructure for AI ML models
- Deliver AI ML applications to production
- Design data pipelines and operational testing strategies
- Drive pre sales scoping and account expansion
- Ensure observability reliability and security through monitoring
- Execute QA validation performance testing
- Extract transform and load data for model development
- Lead end to end AI ML solution design
- Mentor ML engineers and data scientists
- Own model deployment retraining and monitoring
- Provide technical leadership in architecture reviews
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Amazon EMR | CI/CD | Cloud Architecture | Code review | Data Pipelines | Databricks | Distributed Systems | Django | Documentation | Flask | HDFS | JMS | Java | Kafka | Linux | Linux system | Linux system administration | MLOps | Machine Learning | Model Deployment | Model retraining | Monitoring | MySQL | Network Architecture | Observability | Oracle | Performance Testing | Python | Quality Assurance | Redshift | Reliability | SAP | SQL | Scala | Scalability | Security | Server applications | Snowflake | Spark | Spring | System Administration | Testing | Web Server | Web Server Applications
Education
N/A
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