iMerit Technology
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Bengaluru · On-site · 3-6 Yrs · Oct 14
Information Technology Support Services · 5001 to 10000 Employees · Los Gatos, India
iMerit is a leading AI data solutions company providing high-quality data across computer vision, natural language processing, and content services that power machine learning and artificial intelligence applications for large enterprises. iMerit provides end-to-end data labeling services to Fortune 500 companies in a wide array of industries including agricultural AI, autonomous vehicles, commerce, geospatial, government, financial services, medical AI, and technology. iMerit employs more than 5,500 full-time data annotation experts in India, Bhutan, Europe, and the United States.
Hiring: Engineering
What employees say
+ Good management Supportive team Good it support
− Sometimes work can be hectic
More reviews on the company profile.
Interview experience · AI Data Annotator
The interview process consisted only of an online English comprehension test and a data annotation assessment. There was no verbal or technical interview. Despite scoring well and receiving a follow-up call from HR, no o
Very_easy difficulty · Pune · 36 reports
More interview insightsJob description
Overview
Machine Learning Engineer – Multimodal AI & Agentic systems
Responsibilities
- We are looking for a passionate Machine Learning Engineer – Multimodal AI & Agentic systems to join our AI Engineering team. The role combines applied research, machine learning engineering, and platform development to build production-grade systems that understand, process, and reason across multiple data modalities, including images, video, text, documents, point clouds, and sensor data.
- You will develop multimodal machine learning solutions and agentic systems for data curation, intelligent annotation, model evaluation, quality validation, synthetic data generation, and automated AI workflows. The role involves applying computer vision models, Large Language Models, Vision Language Models, multimodal foundation models, and tool-using agents to solve complex real-world problems.
- Design, develop, train, and optimize state-of-the-art computer vision models for tasks including object detection, semantic and instanc
Qualifications
- About iMerit
- iMerit is a global leader in AI data solutions, enabling organizations to build reliable, production-grade Artificial Intelligence systems through high-quality data, advanced tooling, and human expertise. We partner with leading enterprises in autonomous mobility, healthcare, geospatial intelligence, robotics, and generative AI to solve complex machine learning challenges.
- With over 5,500 professionals worldwide, iMerit combines cutting-edge technology with human intelligence to accelerate the development and deployment of AI systems while maintaining the highest standards of quality, security, and social impact.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Machine Learning Engineer – Computer Vision (Bengaluru) at iMerit Technology?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. iMerit Technology may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Engineer – Computer Vision (Bengaluru) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineer – Computer Vision (Bengaluru) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineer – Computer Vision (Bengaluru) role at iMerit Technology?
- This is a mid-level Machine Learning Engineer – Computer Vision (Bengaluru) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.