Description
You'll help companies of all sizes embrace industry-changing technologies like RAPIDS to analyse massive amounts of data to make better, faster business decisions.
Join our team of experts in the field of data science and machine learning to develop innovative solutions that drive business growth.
As a member of our team, you'll have the opportunity to work on a wide range of projects, from developing new algorithms and models to integrating them into existing systems.
You'll collaborate with cross-functional teams, including software engineers, data analysts, and product managers, to deliver high-quality solutions that meet the needs of our customers.
In this role, you'll have the opportunity to learn from experienced professionals and contribute to the development of cutting-edge technologies.
Responsibilities:
- Develop and implement data science and machine learning solutions using RAPIDS and other technologies
- Collaborate with cross-functional teams to deliver high-quality solutions
- Analyse complex data sets to identify trends and insights
- Develop and maintain documentation for data science and machine learning solutions
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
Requirements:
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
- 2+ years of experience in data science and machine learning
- Strong programming skills in languages such as Python, R, or SQL
- Experience with data visualisation tools such as Tableau or Power BI
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Preferred Skills:
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Experience with cloud-based data platforms such as AWS or GCP
- Experience with containerisation using Docker
- Experience with DevOps practices such as continuous integration and delivery