Amazon Internship 2023: Apply Now for Applied Scientist or Data Scientist Roles

Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, Deep Learning and Computer Vision algorithms and designs using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you want to build a foundation for your career after your Bachelor’s or Master’s or Ph.D program at an industry-leading company?

You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.

As an Applied Scientist, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.

“Amazon internships require full-time commitment. During the course of 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 internship. Candidates receiving internship confirmation shall be required to submit declaration of their availability to complete the entire duration of internship, duly signed by a competent authority at their University. Internship commencement will be subject to successful submission of the declaration.”

We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND

GE Healthcare Careers Hiring Project Trainee 2023 | BE/B.Tech

Basic Qualifications:

• Currently enrolled in 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

Preferred Qualifications:

• 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

We are looking for motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of our systems. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control are particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis & optimization is also a plus.

Locations – Bangalore, Hyderabad, Chennai

Major Responsibilities for Amazon Internship 2023:

• Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
• Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
• Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
• Analyze and solve business problems at their root

“Amazon internships require full-time commitment. During the course of 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 internship. Candidates receiving internship confirmation shall be required to submit declaration of their availability to complete the entire duration of internship, duly signed by a competent authority at their University. Internship commencement will be subject to successful submission of the declaration.”

We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND | Hyderabad, IND

GlobalLogic Careers Off Campus Drive 2023 Hiring For Associate Software Engineer | BE/B.Tech/MCA/ M.Tech

Basic Qualifications for Amazon Internship 2023:

• Record of delivering large analytical solutions with business impact
• Experience on R/SAS/Matlab and SQL
• Excellent Microsoft Office skills, including a strong working knowledge of Excel
• Problem solving ability and passion for big data
• Excellent communication and data presentation skills
• Fluent written and spoken English

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Preferred Qualifications for Amazon Internship 2023:

• Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
• Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
• Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch.
• Academic Experience with Big Data platforms like Apache Spark and Hadoop.
• Familiarity with data processing with Python, R & SQL.
• Familiarity with AWS services reilated to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.