Amazon is actively hiring a Data Science Intern in multipile location or remote work, Every fresher engineer is eligible so apply insatantly and get revert back immediately.
Job role : Data Science intern
Qualifications: BE/B.Tech or other technical degree
Batch: Every graduate can apply
Experience: Fresher
Stipend : 40K or as per company standard
Last Date: ASAP
Attention : Read all criteria carefully and make changes in resume regarding that so you will get the interview call,Remember that your family is waiting for you to get job and succeed so don’t be lazy and procrastinate to get interview call you have to beat competition and for that first step is understand the job criteria, hope you understand.
Basic Qualifications :
1. Currently enrolled in a degree program (Bachelor’s or MS or Ph.D.) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or a related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science, or related fields.Remember every engineer can apply.
2. Strong knowledge of programming languages such as C/C++, Java, or Python (SciPy, RPy2, etc).
3. Basic machine learning knowledge.
Responsibilities:
As an Applied or Data Scientist Intern at Amazon, you will:
1. Develop advanced Machine Learning, NLP, ASR, Deep Learning, and Computer Vision algorithms using large datasets to solve real-world problems.
2. Work in a fast-paced, cross-disciplinary team of industry-leading researchers.
3. Tackle challenging problems, distill real requirements, and deliver solutions that leverage existing research or showcase your out-of-the-box thinking.
4. Prototype novel solutions and, when necessary, deliver them to production in customer-facing products.
Preferred Qualifications:
1. Research experience related to machine learning, deep learning, NLP, computer vision, or data science.
2. Published and/or presented papers at top-tier conferences and events such as ICASSP, ICML, NIPS, KDD, CVPR, or similar.
Internship Details:
Location: Bangalore, Hyderabad, Chennai
Duration: Full-time commitment during the internship period.
What Amazon is Looking For: Amazon is seeking candidates who possess not only technical expertise but also:
1. Commitment: Full-time commitment during the internship period without conflicts with academic projects, classes, or other internships/employment.
2. Proactivity: Fearless disruptors who proactively identify areas for improvement and strive to make a significant impact.
3. Adaptability: Individuals who thrive in a fast-paced environment and can navigate complex initiatives with strategic thinking.
4. Communication Skills: Excellent communication skills to collaborate effectively with cross-disciplinary teams.
Soft Skills Amazon is Looking For: In addition to technical expertise, Amazon values candidates who possess the following soft skills:
1. Communication Skills: Excellent verbal and written communication skills to collaborate effectively with cross-disciplinary teams and convey complex ideas to diverse audiences.
2. Adaptability: Ability to thrive in a dynamic and fast-paced environment, demonstrating flexibility to navigate and contribute to evolving projects.
3. Problem-Solving Attitude: A proactive problem solver with the ability to approach challenges with creativity and a positive mindset.
4. Team Collaboration: Strong team player who can work collaboratively in a cross-disciplinary setting, contributing ideas and supporting team initiatives.
5. Time Management: Effective time management skills to prioritize tasks, meet deadlines, and handle multiple responsibilities in a challenging environment.
Why Join Amazon:
1. Cutting-edge Technology: Work on state-of-the-art projects with real-world impact.
2. Global Exposure: Be part of a globally renowned company at the forefront of technological advancements.
3. Learning Opportunities: Access continuous learning and professional development opportunities.
4. Networking: Connect with industry leaders and experts in the field of machine learning and data science.
How to Apply: Click here to apply
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