Staff Applied Scientist - Machine Learning

Description :

Responsibilities :

- Implementing deep learning techniques, particularly Neural Networks.

- Applying both fundamental and advanced Natural Language Processing concepts.

- Implementing Computer Vision methodologies.

- In probability and statistics, applied mathematics, or computational science, and a history of solving difficult problems with good business.

- Impact using a scientific approach.

Requirements :

- Proficient in Machine Learning, Deep Learning, and Explainable AI concepts with the ability to explain them clearly to non-technical audiences.

- Experienced in developing and adapting state-of-the-art models for specific business needs, demonstrating a track record of success in complex, cross-functional projects.

- Proficient in deep learning frameworks like TensorFlow, Keras, and PyTorch, and utilising computer vision (OpenCV) and natural language processing (spaCy) libraries.

- Experience with Large Language Models is a must.

- Should be able to write precise prompts covering multiple aspects of the intended tasks.

- Utilising Git for efficient code management and version control.

- Leveraging cloud platforms such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services.

- Should be well-versed in Design of Experiments.

- Bachelor's/Master's / PhD in Data Science, Mathematics, Operations Research, or related field.

- The right candidate has a background.

- Experience working with major ML algorithms and frameworks.

- Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact.

- 12+ years of hands-on experience with analytics, data science, and big data experience in a business context.

- Experience in programming in Python or similar languages.

- Experience with data visualisation and presentation, turning complex analysis into insights.