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Associate Analyst
About the Company
GlobalLogic, a Hitachi Group Company, serves as a trusted digital engineering partner for prominent global organizations. Since its establishment in 2000, GlobalLogic has been at the forefront of the digital revolution, contributing to the creation of widely adopted digital products and experiences. The company collaborates with clients to drive business transformation and redefine industries through intelligent products, platforms, and services.
Job Description
GlobalLogic is actively seeking a highly motivated and detail-oriented individual to join our expanding team as an Associate Analyst. This pivotal role focuses on contributing to the development and enhancement of machine learning and artificial intelligence models through meticulous data annotation, accurate data classification, rigorous model evaluation, and contributions to computer vision advancements. The successful candidate will be instrumental in generating high-quality labeled data, performing comprehensive model assessments, and facilitating the progress of innovative computer vision solutions. Effective communication skills, encompassing both written and verbal proficiency, are paramount for seamless collaboration with diverse cross-functional teams within the organization.
| Company Name | GlobalLogic |
|---|---|
| Role | Associate Analyst |
| Location | Hyderabad, India |
| Salary | |
| Job Type |
Responsibilities
- Execute data annotation and labeling tasks for a diverse range of multimedia data, including images and videos, adhering to established internal tools and guidelines.
- Conduct data classification activities based on predefined taxonomies and specified criteria, ensuring consistency and accuracy.
- Provide support in the evaluation and validation of computer vision models, contributing to the assurance of optimal accuracy and performance.
- Engage in close collaboration with team members to furnish insightful recommendations derived from annotated data and evaluation outcomes.
- Perform thorough reviews, cleansing, and quality assurance checks on labeled datasets to maintain consistency and data integrity.
- Create comprehensive documentation pertaining to annotation guidelines, complex edge cases, and recommended best practices.
- Actively participate in team discussions, contributing through clear and concise communication, both written and verbal, to effectively convey ideas, address potential issues, and provide pertinent updates.
- Maintain current knowledge of emerging trends and developments within the fields of computer vision and machine learning to introduce innovative perspectives to the team’s collective knowledge.
Qualifications
- A bachelor’s degree in any discipline coupled with 0 to 1 year of relevant experience.
- Demonstrated excellence in both verbal and written communication.
- Possession of a graduation degree is mandatory (submission of a Provisional Certificate and Consolidated Marks Memo is required).
- Willingness to work on-site at the designated office location and adhere to rotational shift schedules (5 working days per week with 2 days off).
- Preference will be given to candidates available for immediate onboarding.
Skills
ATS Keywords
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Frequently Asked Questions
The Associate Analyst is responsible for data annotation, data classification, model evaluation, ensuring data quality, and contributing to computer vision advancements. They will work with multimedia data, create documentation, and communicate effectively within cross-functional teams.
A bachelor’s degree in any discipline with 0-1 year of relevant experience is required. Excellent written and verbal communication skills are essential. Candidates must be willing to work on-site in Hyderabad and adhere to rotational shift schedules.
While experience is helpful, the job description suggests it is an entry-level role (0-1 years of experience). A strong understanding of the concepts and willingness to learn are likely more important.
The role requires working on-site at the designated office location in Hyderabad and adhering to rotational shift schedules (5 working days per week with 2 days off).
Other Information
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
