Lead ML & AI Engineer
Tasks
- Build agentic AI and generative AI systems
- Build data preprocessing model training and inference pipelines
- Build scalable reliable reproducible production ML systems
- Collaborate to integrate ML outputs into map compilation workflows
- Deploy monitor and scale ML solutions
- Implement MLOps with CI CD model versioning feature stores and drift detection
- Lead code reviews architecture reviews and best practice sharing
- Lead design and development of machine learning models
- Lead innovation in computer vision NLP deep learning and machine learning
- Own end to end ML system architecture
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Amazon SageMaker | CI/CD | Computer Vision | CrewAI | Deep learning | Docker | Drift Detection | EMR | ETL | Experimentation Frameworks | Feature Stores | Generative AI | Java | Jenkins | Kubernetes | Lambda | Langchain | Language Processing | MLOps | Machine Learning | Model versioning | Natural Language | Natural Language Processing | NoSQL | Python | RAG | S3 | SQL | Scala | Vector Databases
Education
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