Staff Software Engineer
Tasks
- Apply computer vision techniques for thermal analysis, corrosion detection, object detection, change detection, and predictive maintenance
- Build and optimize ML pipelines from data ingestion to deployment
- Create cloud-native SaaS platforms with REST APIs, microservices, and SDKs
- Design multi-tenant SaaS architectures supporting batch and real-time inference
- Develop containerized ML solutions with Docker and Kubernetes
- Develop deep learning models using PyTorch, TensorFlow, HuggingFace Transformers
- Establish MLOps pipelines, monitoring, and model lifecycle management
- Handle large-scale image datasets and implement preprocessing and augmentation
- Lead design and deployment of AI/ML image analytics solutions
- Lead technical decisions across ML, cloud, and full-stack systems
- Mentor engineers and establish ML/AI best practices
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CNNs | Computer Vision | Data Preprocessing | Data Science | Deep learning | Distributed Systems | Docker | Feature Engineering | GCP | HuggingFace Transformers | Kubernetes | ML pipelines | MLOps | Model Evaluation | Model Serving | NumPy | Pandas | PyTorch | Python | SaaS architectures | SciPy | Statistics | System design | TensorFlow | Vision Transformers
Education
Bachelor's | Master's | PhD
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