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Job Description
<![CDATA[ The Student Intern is responsible for gaining exposure to career opportunities within the oil and gas technology industry. This person discovers Schlumbergers role in the industry and the lifestyle associated with the job.<br/>
- 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.
- 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
- 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
- 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.
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Skills
PythonDeep LearningMachine LearningDjangoGoogle CloudIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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