Automation Anywhere Internship 2020 As Engineering Intern
Automation Anywhere is hiring freshers for the role of Engineering Intern In Bangalore. Candidates in BS/MS in Computer Science or related discipline are eligible for this role. For more details for eligibility criteria, selection process, apply link read below.
Company: Automation Anywhere
Position: Engineering Intern
Job location: Bangalore
Salary Offered: Best In Market
Experience Required: 0 years
Eligibility Criteria:
- BS/MS in Computer Science or related discipline
Required Skills:
- Java, React Native, Cloud Repositories
- C#, PHP, JavaScript, CSS, JQuery, AWS, Azure, Python, REST API, HTML
- Junit, TestNG, Selenium, Cucumber, JMeter
- BS/MS in Computer Science or related discipline
- Background in one or more of the following areas: deep learning, machine learning, computer vision, image processing, natural language processing
- Experience with at least one ML framework, such as Tensorflow, Keras, Torch, Caffe
- Good communication skills, quick learner and ability to work under pressure
- Team player with the ability to establish close working relationships with other teams
- Strong logical, analytical and problem-solving skills
- Strong troubleshooting and root cause analysis abilities
- Passion for software test and quality assurance
- Excellent verbal and written communication skills
- Ability to work in and execute tests within a Windows, Unix/Linux environment
Job Responsibilities :
- Work with loads of data generated by bots to provide insights
- Enhance user-experience for controlling bots on-the-go using our mobile app.
- Define and develop RPA bots that automate several business processes supporting a variety of applications and platforms
- Develop Automation Anywhere platform and product expertise, and utilize bot design and development best practices to develop high-quality code in an Agile team environment
- Enhance and extend the test automation framework, systems, and libraries to test complex, large-scale, distributed systems
- Analyze and troubleshoot test failures, submit defects, and communicate results
- Work on projects involving CNNs, RNNs, and other deep learning architectures
- Apply software development skills to a wide range of ML-related projects
- Develop algorithms to extract structure from document images
How to Apply :
Interested candidates can apply using the below mentioned link.
Apply Link : Click Here to Apply
