Lead ML & AI Engineer
Tasks
- Build ML system architecture end to end
- Build scalable reliable reproducible production ML systems
- Conduct code and architecture reviews
- Design develop deploy machine learning models
- Develop computer vision NLP deep learning models
- Drive continuous improvement in ML development processes
- Implement MLOps pipelines CI CD model versioning feature stores drift detection experimentation
- Implement agentic AI and generative AI techniques
- Integrate ML outputs into map compilation workflows
- Own ML or data components for mapping routing ecosystem
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | CI/CD | Computer Vision | CrewAI | Data Preprocessing | Data Transformation | Deep learning | Deployment | Docker | Drift Detection | EMR | ETL | Experimentation | Feature Store | Generative AI | Inference Pipelines | Java | Jenkins | Kubernetes | Lambda | Langchain | Language Processing | MLOps | Machine Learning | Model Training | Model versioning | Monitoring | Natural Language | Natural Language Processing | NoSQL | Python | RAG | S3 | SQL | SageMaker | Scala | Vector Database
Education
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