Staff Machine Learning Engineer - NLP/Computer Vision

Responsibilities :

- Design and implement machine learning, deep learning, classical CV and NLP algorithms focused on data extraction.

- Research to support the deployment of advanced algorithms.

- Develop, evolve, and support production-quality code.

- Deploy models as AWS SageMaker endpoints or directly onto devices.

- Stay updated with the latest advancements in deep learning, computer vision, and NLP by engaging with academic papers and attending industry conferences.

- Work collaboratively with other engineers and product managers in an Agile development environment.

Requirements :

- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

- A minimum of 6+ years of commercial experience in the field of computer vision, ML or a related area, not including time spent studying (5 years with a Master's).

- Proficiency in computer vision, deep learning and natural language processing techniques.

- Proficiency in working with LLMs and VLMs.

- Hands-on experience with PyTorch or TensorFlow, OpenCV, SKLearn, and in developing production-grade Python code.

- Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.

- Experience in building, training, and deploying ML models to production environments.

- Strong communication and problem-solving skills.

Great to Have :

- PhD in Computer Science or related field with a specialisation in computer vision, deep learning or NLP.

- Experience in developing algorithms for OCR, text extraction and text understanding.

- End-to-end experience (training, deploying, monitoring) with shipping VLM and LLM models in a production environment.

- Understanding of Spring / Java-based system architectures.

- Experience with cloud environments - AWS / GCP.