Principal Engineer, AI & Advanced Analytics
USD 145K-210K Senior-level Full Time
Tasks
- Architect cloud native AI workloads
- Architect end-to-end AI solutions
- Build intelligent automation frameworks
- Collaborate on architecture roadmaps
- Deploy machine learning models
- Design feature engineering pipelines
- Develop machine learning models
- Ensure security and ticket closure
- Establish reusable engineering processes
- Implement predictive analytics
- Integrate BI tools with enterprise data
- Lead proof of concept for new use cases
- Manage solution governance and standards adherence
- Monitor deployed models
- Oversee technology design and upgrades
- Perform problem diagnosis and resolution
- Present emerging technology value to leadership
- Provide lifecycle support for AI systems
- Validate designs and support testing
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Agentic AI | Apache Spark | Automated retraining | Azure | Azure DevOps | CI/CD | Cloud Native | Cloud Native Architecture | Cloud platform | Continuous Delivery | Continuous integration | Data Ingestion | Databricks | Docker | Docker Registries | Feature Engineering | Google BigQuery | Google Cloud | Google Cloud Platform | Intelligent Automation | Kubernetes | LLM Agents | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model versioning | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Ray | Snowflake | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Architect | Cloud Architect | Cloud) | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal Engineer
Regions
Countries
States
Cities
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