Lead ML & AI Engineer
Tasks
- Build agentic AI generative AI and foundational ML systems
- Build data preprocessing and model training pipelines
- Build inference and deployment pipelines
- Conduct code reviews and architecture reviews
- Design, develop, and deploy ML systems
- Detect model drift and manage experimentation
- Develop computer vision NLP deep learning and machine learning models
- Implement MLOps practices with CI CD model versioning and feature stores
- Implement monitoring and scaling for production
- Integrate ML outputs into map compilation workflows
- Own ML system architecture
- Provide technical leadership on ML solutions
- Translate requirements into scalable ML designs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Lambda | AWS S3 | AWS SageMaker | Agentic AI | Apache Flink | Apache Spark | CI/CD | Computer Vision | Data Engineering | Data Preprocessing | Deep learning | Deployment | Docker | Drift Detection | ETL | Experimentation | Feature Store | Generative AI | Inference Pipelines | Jenkins | Kubernetes | Language Processing | MLOps | Machine Learning | Model Training | Model versioning | Monitoring | Natural Language | Natural Language Processing | NoSQL | Python | SQL
Education
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