Quest Global Hiring Drive: This program is focused on hands-on training in artificial intelligence and dynamic AI in engineering services. Participants contribute to creative projects that address complex problems using advanced technology.
Key Responsibilities
- Develop, build and develop deep and machine learning models for a variety of purposes.
- Implementing algorithms to support the natural process of language (NLP) Computer visualisation, analytics that predict and other related tasks.
- Integrate AI functions in software systems and applications.
- Create APIs and interfaces that allow AI-powered features.
- Manage large amounts of data by cleaning or preprocessing and feature engineering, while ensuring the data’s quality to train models.
- Work with engineers, data scientists and other stakeholders to define project objectives.
- Explainthe details of technical AI ideas clearly to team members who are not technical.
- Optimise models for improved performance, scalability and efficiency.
- Install AI technologies in manufacturing environments.
- Apply and study the most recent developments in AI technology.
Required Skills and Experience
- Expertise in Python (additional experience with Java as well as C++ serves as an advantage).
- Experience with deep learning and machine learning frameworks, such as TensorFlow, PyTorch, and scikit-learn.
- Practical experience using generative models, including GPT structures, VAEs, GANs and diffusion Models.
- A solid foundation for the analysis of data in statistical modelling, data analysis, and techniques for data visualisation.
This position is ideal for people who are looking to gain experience in AI development. Recent graduates and fresh graduates with academic work or coursework are eligible.