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MokSa.ai

Interesting Opportunity Moksa Ai Hyderabad (India)

MokSa.ai

Hyderabad, Telangana, India
Full-Time
Posted 1 month ago

Job Description & Responsibilities

Job Title : Team Lead - Computer Vision Engineer AI/ML

Location : Greater Hyderabad, Telangana India

Employment Type : Full time

Department : Tech

mokSa.ai is specializing in AI-powered surveillance audit solutions. Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies

Job Description

We are seeking a talented Computer Vision Engineer with robust expertise in microservice deployment architecture to join our team.

In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis.

Responsibilities

You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities

Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases.

Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments.

Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring productive extraction, transformation, and loading (ETL) of video data.

Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling.

Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints.

Monitor and improve : Continuously monitor model perform Job Title : Team Lead - Computer Vision Engineer AI/ML

Location : Greater Hyderabad, Telangana India

Employment Type : Full time

Department : Tech

mokSa.ai is specializing in AI-powered surveillance audit solutions. Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies

Job Description

We are seeking a talented Computer Vision Engineer with robust expertise in microservice deployment architecture to join our team.

In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis.

Responsibilities

You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities

Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases.

Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments.

Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring productive extraction, transformation, and loading (ETL) of video data.

Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling.

Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints.

Monitor and improve : Continuously monitor model perform

Required Skills

Machine LearningDeep Learning

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience00 years
Positions1

Posted by

N/A

Posted on:

18 Jul 2026

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