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# Senior Data Scientist

- **Company:** FYLD, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Big Data, Information Engineering, Dataspaces, Linux, Machine Learning, Object Detection, Cloud Services, Tensorflow, Smart Devices, Google Cloud, Data Ingestion, Pytorch, Transfer Learning, Large Language Models, Information Technology, Machine Learning Operations, Data Pipelines, Docker
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/le72go6jsz

## About the Role

Key experience:

 * At least five years experience in frameworks such as PyTorch and Tensorflow
 * Two years experience in building & deploying object detection models at scale
 * Experience in training, fine-tuning, distilling computer vision models in production
 * Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex datasets
 * Solid understanding of Large Language Models, including how to apply multi-modal models.
 * Understanding of deployment into Cloud based services - AWS, GCP, Docker, Linux
 * Experience deploying ML models to edge devices with necessary optimisations

Additional requirements:

 * Advanced degree in Computer Science, Statistics, Data Science or equivalent
 * Experience building and commercialising ML models
 * Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation and feedback capture
 * Knowledge of data ecosystems and tools, spanning from data ingestion, data engineering, data quality, data orchestration, and data privacy considerations and governance
 * Data-informed - highly analytical thinker and structured problem-solver
 * Demonstrates initiative while collaborating effectively with others to drive solutions forward
 * Stakeholder management - ability to influence and advise key stakeholders at all levels across the organisation
 * Operational execution - can run the processes and culture needed to deliver value from data and analytics teams reliably
 * Comfortable working with ambiguous or evolving requirements, with a proactive and adaptable approach
 * Experience testing and validating non-deterministic systems
 * Experience designing architecture and deployment systems for CV tasks is also beneficial

## Description

* Build computer vision algorithms for tasks such as object detection, image segmentation, and scene understanding.
 * Build & own the technology roadmap for Data Science that allows us to deliver this vision
 * Work closely with data engineers to improve data quality, labeling efficiency, and model accuracy
 * Work closely with product teams to understand challenges & opportunities and communicate potential solutions
 * Contribute to the long term product vision
 * Ensure customers are successful in their use of our AI functionality