Job Description

About MostEdge

MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the

StockUPC app

, we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions.

Our mission is to

deliver trusted, profitable experiences--empowering retailers, partners and employees to accelerate commerce in a sustainable manner.

Job Summary:

We are seeking a highly skilled and motivated

AI/ML Engineer

with a specialization in

Computer Vision & Un-Supervised Learning

to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for

smart surveillance applications

, including real-time detection, facial recognition, and activity analysis.

This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in

real-world production environments

, both in the

cloud

and on

edge devices

.

Key Responsibilities:

AI/ML Development & Computer Vision

Design, train, and evaluate models for: Face detection and recognition Object/person detection and tracking Intrusion and anomaly detection Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines.

Surveillance System Integration

Integrate computer vision models with

live CCTV/RTSP streams

for real-time analytics. Develop components for

motion detection

,

zone-based event alerts

,

person re-identification

, and

multi-camera coordination

. Optimize solutions for low-latency inference on

edge devices

(Jetson Nano, Xavier, Intel Movidius, Coral TPU).

Model Optimization & Deployment

Convert and optimize trained models using

ONNX

,

TensorRT

, or

OpenVINO

for real-time inference. Build and deploy APIs using

FastAPI

,

Flask

, or

TorchServe

. Package applications using

Docker

and orchestrate deployments with

Kubernetes

. Automate model deployment workflows using

CI/CD pipelines

(GitHub Actions, Jenkins). Monitor model performance in production using

Prometheus

,

Grafana

, and log management tools. Manage model versioning, rollback strategies, and experiment tracking using

MLflow

or

DVC

. As an AI/ML Engineer, you should be well-versed of

AI agent development and finetuning

experience

Collaboration & Documentation

Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps.

Required Qualifications:

Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.

3-6 years

of experience in AI/ML, with a strong portfolio in

computer vision, Machine Learning

. Hands-on experience with: Deep learning frameworks:

PyTorch, TensorFlow

Image/video processing:

OpenCV, NumPy

Detection and tracking frameworks:

YOLOv8, DeepSORT, RetinaNet

Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time

model deployment

on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools.

Preferred Qualifications:

Experience with

multi-camera synchronization

and NVR/DVR systems. Familiarity with

ONVIF protocols

and camera SDKs. Experience deploying AI models on

Jetson Nano/Xavier

,

Intel NCS2

, or

Coral Edge TPU

. Background in

face recognition

systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems.

Tools & Technologies:

Languages & AI

- Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn

Model Serving

- FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs

Model Optimization

- ONNX, TensorRT, OpenVINO, Pruning, Quantization

Deployment -

Docker, Kubernetes, Gunicorn, MLflow, DVC

CI/CD & DevOps

- GitHub Actions, Jenkins, GitLab CI

Cloud & Edge

- AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU

Monitoring

- Prometheus, Grafana, ELK Stack, Sentry

Annotation Tools

- LabelImg, CVAT, Supervisely

Benefits:

Competitive compensation and performance-linked incentives. Work on cutting-edge surveillance and AI projects. Friendly and innovative work culture.
Job Types: Full-time, Permanent

Pay: From ?400,000.00 per year

Benefits:

Health insurance Life insurance Paid sick time Paid time off Provident Fund
Schedule:

Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability
Supplemental Pay:

Performance bonus Quarterly bonus
Work Location: In person

Application Deadline: 25/07/2025
Expected Start Date: 01/08/2025