Job Description
- Work in field jobs for a minimum of 14 days.
- Learn about the oil and gas industry.
- Follow prescribed internship guidelines for each week as closely as possible. Note: While the opportunity for technically-trained professionals is large, these jobs are unique in their scope and responsibility and require a special kind of individual to succeed. The internship will enable the candidate and Schlumberger determine if these requirements are met before committing to a full time job.
Qualifications and Requirements
Aptitude to independently learn new technologies, prototype, and propose solutions
Excellent programming skills (preferably Python)
Good knowledge of Linear Algebra, Probability & Statistics
Good knowledge of key Machine Learning & Deep Learning algorithms including GenAI
Experience in a Unix/Linux environment for automating processes with shell scripting
Basic Understanding of Cloud Computing & Application Development
Behavioural Skills:
Creativity and ability to formulate problems and solve them independently
Highly collaborative work style
Strong listening and communications skills
Presenting & communicating information
Result and quality focused
Good to have:
Experience on TensorFlow/ PyTorch for computer vision / speech / natural language processing applications.
Experience working in Cloud, preferably Google Cloud Platform or Azure is a plus.
Hands on experience of designing or building RESTful APIs is a plus
Experience in web frontend development (with JavaScript, HTML5), frontend web frameworks (Angular)
and backend web frameworks (Django, FastAPI) is a plus
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.