What The Role Is
This role involves developing and implementing generative AI and machine learning solutions to solve business challenges, from building web applications and ML models to conducting data analysis and collaborating with cross-functional teams using Agile methodologies.
What You Will Be Working On
In this role, you will be expected to take up the following responsibilities:
- Explore, utilise, and implement generative AI technologies to solve challenges and deliver business value
- Build web applications powered by machine learning and generative AI models, transitioning from proof-of-concept to production
- Develop and implement machine learning models for classification, regression, clustering, and forecasting using various tools and libraries
- Conduct data analysis using modern tools and techniques to derive insights, trends, and patterns relevant to business problems
- Apply statistical techniques to interpret data distributions and calculate significant measures
- Collaborate with cross-functional teams using Agile methodologies to deliver continuous improvements
- Analyse business requirements, recommend solutions, and contribute to cloud application implementation
What We Are Looking For
- Proficiency in Python programming language
- Experience in machine learning techniques and familiarity with relevant tools and open-source libraries
- Strong statistical analysis skills and ability to interpret complex data sets
- Basic understanding of cloud computing concepts and services
- Understanding of Agile frameworks and principles
- Familiarity with business analysis techniques and problem-solving skills
- Excellent communication skills and ability to work effectively in a team environment
- Demonstrated ability to manage projects and deliver results in a timely manner
- Willingness to learn and adapt to new technologies and methodologies in the field of data science
This will be a 2-year contract. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.