Team:
Sonata
Close date:
Friday, 01 July 2022
Working pattern:
Full time
Contract Type:
Permanent
Location:
London
Department:
25 - Development
Description & Requirements:
Position Purpose
In this role as a Research Scientist at Bravura Solutions, you will actively work with Bravura’s Machine Learning Engineers to deliver state-of-the-art models to different software environments. With a strong focus on deep learning, you will draw on your expertise from a variety of techniques such as clustering, anomaly detection, dimensionality reduction, transfer learning and reinforcement learning to meet ambitious goals.
Part of our broader Bravura Innovation framework, the team is laser-focused on delivering new automation offerings to clients across different algorithmic domains, initially targeting NLP, Computer Vision and multimodal architectures.
Main Activities
- Research state-of-the-art ML literature across domains, scientifically analyse their applicability on our datasets and adapt and implement those solutions
- Define scientific evaluation strategies for AI models, focusing on image recognition and NLP
- Create research prototypes and transition them to products in collaboration with the ML engineering team to exhibit quantifiable business benefits
- Identify new AI based opportunities within Bravura business domain
- Actively publish scholarly articles within the scientific community through conferences and journals
Key skills
- Excellent coding skills of at least one language among Python, Java and C/C++
- Strong skills in Machine Learning frameworks: Tensorflow, Pytorch, Scikit-Learn
- Familiarity with cloud platforms for data analysis and model training
- Familiarity with relational databases
Qualifications and Experience
- Strong Academic or Industrial experience in core deep learning research, not limited to a specific domain
- PhD in machine learning or equivalent practical experience with a PhD in deep learning preferable
- Knowledge in handling model training at big data scale on distributed hybrid clusters
- At least 1 year’s experience working in a post-doctoral role