FAQs
What is the working hours for this position?
The working hours are flexible and part-time, typically starting around 8-9 am.
Will I be required to work in the office?
Yes, the position allows for both office work and remote work in a hybrid format.
What qualifications do I need to apply?
You should be currently studying in fields such as Computer Science, Data Science, Statistics, Engineering, or related disciplines with a focus on Data Analytics and Machine Learning.
What programming languages should I be proficient in?
Proficiency in Python and SQL is preferable for data analysis, model development, and deployment.
What are the key responsibilities of this role?
Key responsibilities include collaborating on ML projects, building data pipelines, developing app prototypes, and utilizing GenAI techniques for business solutions.
What tools and frameworks will I be using?
You will use state-of-the-art frameworks and platforms such as Streamlit, Azure OpenAI Services, Snowflake, PostgreSQL, and Amazon Web Services (AWS).
Is experience with ML techniques required?
Yes, hands-on experience with supervised and unsupervised ML techniques, as well as Generative AI use cases, is expected.
Will I be working independently or as part of a team?
You will be working as part of a team consisting of Data Scientists, Data Engineers, and Cloud Engineers, collaborating throughout the project lifecycle.
Are there opportunities for career development in this role?
Yes, this position provides exciting insights into an international company and lays the foundation for a career in the field.
Does Siemens Energy value diversity?
Yes, Siemens Energy celebrates diversity and is committed to inclusion, welcoming applications from individuals of different backgrounds and abilities.