As an 'Artificial Intelligence (AI) Associate' at Diffblue, you will have the opportunity to work with cutting-edge technology and make a real impact in the field of AI. If you are passionate about Python, artificial intelligence, natural language processing (NLP), machine learning, deep learning, data science, neural networks, and data structures, then this is the perfect role for you.
Key responsibilities:
1. Collaborate with the AI team to develop and implement AI solutions using Python and other relevant technologies.
2. Conduct research and experiments in the areas of NLP, Machine Learning, and Deep Learning to improve our AI algorithms.
3. Utilize your expertise in Data Science to analyze and interpret large datasets for AI model training.
4. Design and implement neural networks to enhance the performance of our AI systems.
5. Optimize data structures and algorithms for efficient AI processing and execution.
6. Stay up-to-date with the latest advancements in AI technologies and incorporate them into our projects.
7. Work closely with cross-functional teams to integrate AI solutions into our software products.
If you are a highly skilled AI professional with a strong background in Python and AI technologies, and you are looking for a challenging and rewarding opportunity, then apply now to join our dynamic team at Diffblue.
Skill(s) required
Data ScienceData StructuresDeep LearningMachine LearningNatural Language Processing (NLP)Neural NetworksPython
Diffblue Cover is a fully autonomous AI-powered unit testing solution that writes and maintains entire Java unit test suites autonomously, with no developer intervention required. With the ability to write unit tests 250x faster than a human, Cover can rapidly build unit test suites at scale, freeing up developer time to focus on what they enjoy most, writing application code over test code, and higher-order problem-solving. Cover's AI is built on reinforcement learning, not large language models, producing higher quality and more accurate code for unit testing and enabling higher code coverage rates. Cover is available as a CLI tool, as a plugin for IntelliJ IDEA, and as a CI/CD integration.
