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Associate Analyst – Content Engineering with less than a year in Machine Learning Data Operations &
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Assessing your cultural and operational fit
Associate Analyst with experience in Machine Learning Data Operations (MLDO), Robotics Workflow Operations, video annotation, multimedia data processing, content engineering and data quality validation. Experienced in creating and validating natural language instructions for robot and human actions, reviewing video-based workflows and maintaining 90%+ quality standards in production environments. Possesses strong analytical, problem-solving and communication skills.
N.K. Orchid College of Engineering and Technology, Solapur
Bachelor of Technology · Electronics & Telecommunication
August 1, 2020 – June 30, 2024
GlobalLogic Technologies Pvt. Ltd.
Associate Analyst – Content Engineering (Fixed Term Contract)
April 1, 2026 – Present
India
Java Development (Java, J2EE, Angular)
The Kiran Academy, Pune
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at GlobalLogic Technologies in a contract role as an Associate Analyst – Content Engineering directly matches the target role. The project work involves MLDO and robotics workflows, indicating an interest and capability in emerging technologies. The breadth of technical skills listed, including programming and AI tools, suggests a proactive learning attitude. The education in Electronics & Telecommunication, combined with a Java development certification, shows a diverse technical foundation. The candidate appears to be a good cultural fit for a role requiring attention to detail, quality assurance, and adaptability in a tech-driven environment.
Soft Skills & Operational Fit
The candidate's professional summary highlights strong analytical, problem-solving, and communication skills. Experience descriptions indicate collaboration with cross-functional teams and adherence to project guidelines, suggesting a good operational fit for structured environments. The role involves detailed quality checks and compliance, which points to a methodical and quality-oriented approach.