AI Machine Learning Developer
View: 107
Update day: 07-05-2024
Location: Leeds Yorkshire and the Humber
Category: High Technology Mechanical / Technical Electrical / Electronics IT - Software
Industry: Staffing Recruiting Financial Services Investment Management
Position: Entry level
Job type: Full-time
Job content
Do you want to keep kids, online users and brands safe online? Our client, Crisp, is looking for an expert in machine learning technology to join our expanding engineering team.You will be responsible for creating artificial intelligence algorithms that will classify various risks associated with social media, in the form of text, images, videos, audio or aggregated content. As such this role is well suited to someone with a strong background in AI and machine learning through their work experience or postgraduate degree/research.
Responsibilities include researching, developing and deploying machine learning models and implementing retraining systems. To do this job successfully, you need exceptional skills in statistics and programming, as well as sound knowledge of implementing models into ongoing operations. If you also have knowledge of data science and software engineering, we’d like to meet you.
In This Role You Will
- Create, update and improve our ML classification capabilities
- Deploy new models into production on a weekly/daily basis
- Investigating any performance issues and bottlenecks
- Testing new ML architectures
- Understanding the underlying nature of our data and how best to design systems around it
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Keeping abreast of the latest developments in the area of Machine Learning
- Applying the latest technologies to our data in order to create performant classifiers
- Working with the rest of the Machine Learning team to ensure that everyone is working together with the right tools and technologies
- Responding quickly to the automation needs of the company
- RNNs: Long Short Term Memory and Gated Recurrent Units
- Transformers
- CNNs
- Graph Neural Networks
- Python
- PyTorch (or TensorFlow, Keras, Caffe, ONNX)
- Scikit-learn
- Git
- Docker
- Google Cloud Platform
- Amazon Web Services
- BigQuery
- ElasticSearch
- SQL
- Neo4j
If you feel you have the skills and experience to be successful in this role, please send an up to date CV along with your current salary details to Debbie Middleton at MGER and let her do the rest!
Deadline: 21-06-2024
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