AI Tech Trainee

As an AI Tech Intern, you will support the development and implementation of AI solutions under the guidance of AI Tech Lead and their team. Your work might include tasks such as analysing datasets; training, evaluating and serving machine learning models; defining the best course to implement use cases; and maintaining data pipelines to contribute to our AI projects.

Key Accountabilities:

• Support in Data Analysis and Modeling: Assist in analysing datasets using statistical and machine learning techniques. Support the development and validation of predictive models under the supervision of senior data scientists.
• Collaboration and Learning: Work alongside business and IT teams to understand the application of data science in driving business outcomes. Engage in innovative projects and contribute to the creation of AI solutions that cater to the evolving needs of our customers.
• Professional Growth: Participate in educational workshops, seminars, and team discussions to stay updated with the latest trends and technologies in AI. Gain hands-on experience in a dynamic and collaborative environment.

Knowledge, Skills, and Experience Required:

• Educational Background: University degree in computer science, engineering, mathematics, or a related field.
• Foundational Knowledge: Basic understanding of machine learning, deep learning, and AI concepts.
• Technical Skills: Familiarity with programming languages such as Python or R and an eagerness to learn more about AI frameworks like TensorFlow or PyTorch.
• Analytical Skills: Strong analytical skills with a passion for problem-solving and the ability to learn quickly.
• Communication: Good communication skills with the ability to work well in a team setting.
• Innovative Mindset: A keen interest in AI and a desire to learn and contribute to the field of data science and data engineering.

This position is an excellent opportunity for someone who is passionate about AI and looking to gain practical experience in the field. You will have the chance to work on real-world problems, learn from industry experts, and contribute to impactful projects.

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.