AI/ML Engineer (5+ Years)
We're building AI systems that convert unstructured visual data into structured, usable outputs that power real-world workflows.
This role focuses on solving messy, high-variability problems and delivering reliable systems in production, not just training models in isolation.
What You'll Do
- Build and improve end-to-end AI/ML pipelines (input preprocessing inference structured output)
- Work with noisy, inconsistent datasets and drive improvements in data quality and model performance
- Develop preprocessing pipelines (e.g., normalization, transformations, input standardization)
- Run experiments, tune models, and evaluate trade-offs across accuracy, latency, and cost
- Collaborate with engineering teams to productionize models (APIs, batch/real-time systems)
What We're Looking For
- 5+ years of hands-on experience in ML/AI with exposure to computer vision
- Strong Python skills with production-quality coding practices
- Solid understanding of microservices and system design.
- Experience building and deploying ML systems beyond experimentation
- Experience working on systems that extract or process information from complex visual inputs (e.g., documents, forms, or similar structured outputs)
- Strong understanding of neural network architectures (e.g., CNNs, Transformers, sequence models) and their real-world trade-offs.
- Ability to:
- Select appropriate approaches based on problem constraints
- Fine-tune and optimize models for performance and reliability
- Debug model behavior and failure cases in production
- Strong understanding of evaluation metrics, error analysis, and model limitations
Good to Have
- Experience with cloud environments (e.g., Azure or similar)
- Familiarity with scalable data pipelines, containerization, or distributed systems
- Exposure to multi-modal systems (vision + text)
What We Don't Want
- Only academic or demo project experience
- Over-reliance on plug-and-play APIs without understanding internals
- Inability to explain past work end-to-end (data model output impact)
- Profiles focused only on generic image classification or object detection use cases without real-world deployment experience
