Lead Developer/Architect
Tasks
- Architect and integrate AI services into enterprise systems
- Conduct architecture reviews and design governance
- Define AI centric enterprise architecture frameworks and standards
- Design scalable cloud native architectures for AI ML workloads
- Drive MLOps practices for model lifecycle management
- Ensure performance scalability reliability and security for AI platforms
- Ensure system integration across applications analytics platforms and AI services
- Evaluate emerging AI tools frameworks and platforms
- Lead end to end AI solutions data ingestion processing model deployment and monitoring
- Modernize legacy systems with AI enablement
- Provide technical leadership and mentorship to development teams
Perks/Benefits
Skills/Tech-stack
API Design | ARM | AWS | Amazon SageMaker | Azure | Azure Machine Learning | Azure Service | Azure Service Bus | Batch Processing | BigQuery | CI/CD | CloudFormation | Container Orchestration | Data Modeling | Data Processing | Databricks | Docker | ELT | ETL | GCP | GraphQL | Java | Kafka | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | NoSQL | Node.js | PyTorch | Python | REST | RabbitMQ | Retraining | SQL | Scikit-learn | Service Bus | Snowflake | Streaming Data | Streaming data processing | TensorFlow | Terraform | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Architect | Developer | Lead | Lead Developer | Lead Software Architect | Software Architect
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