Amazon officially hires the 2022 and 2023 batches to pass out candidates for the position of data sciences internships the candidates who are enrolled now in mentioned qualification apply now for this position.
|Salary||Up to 10 LPA|
|Position||Data Scientist Intern|
|Experience||Freshers and students only|
|Qualification||BCA BSC BTECH MCA MSC MTECH|
Amazon Recruitment for data sciences internships 2022.
Currently enrolled in a degree program (Bachelor’s or MS or Ph.D.) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science, or related fields.
Strong working knowledge of programming languages such as C/C++, Java, or Python (SciPy, RPy2, etc).
Practical machine learning experience
Skills & Knowledge
Research experience related to machine learning, deep learning, NLP, computer vision, data science
Published and/or presented papers at ICASSP, ICML, NIPS, KDD, CVPR, or similar top-tier conferences and events
Amazon internships require a full-time commitment.
During the course of the internship, interns should not have any conflicts including but not limited to academic projects, classes, or other internships/employment.
Any exam-related details must be shared with the hiring manager to plan for absence during those days.
Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of the internship.
Candidates receiving internship confirmation shall be required to submit the declaration of their availability to complete the entire duration of the internship, duly signed by a competent authority at their University.
Internship commencement will be subject to the successful submission of the declaration.
Apply process for this amazon data sciences internship 2022 position.
- Go to the Official Website, Using the link given below.
- Click on the Registration – New User button
- Enter the required credentials, Personal Details, Contact Details, and Educational Eligibility.