Pay: ₹1,300,000.00 - ₹1,500,000.00 per year

Job description:

Job Location : Remote

Position : AI/ML Developer

Experience : min 4 years

Qualifications : Bachelor’s degree in Computer Science, AI, Machine Learning, or related field

Industry : IT Software

Joining : Immediate

Job Overview:

Key Responsibilities:

Apply computer vision techniques for object detection, segmentation, and

dimension measurement to extract data from images and documents.

Integrate AI models like YOLOv8, YOLOv11, and Detectron for advanced object

detection and real-time analysis.

Use machine learning techniques (e.g., regression, prediction, anomaly detection,

clustering) to extract insights and improve efficiency.

Handle image tagging for training datasets, and use tools like Roboflow and

Supervisely to create and manage labeled data.

Train YOLO models in cloud environments like Google Colab, AWS, and Azure,

ensuring efficient fine-tuning and deployment.

Lead a team of AI/ML engineers, setting guidelines and best practices for model

development and deployment.

Collaborate with cross-functional teams to ensure AI models align with business

goals.

Apply knowledge of transformers (Vision Transformers) and neural networks for

visual recognition tasks.

Technical Skills & Expertise:

Object Detection & Segmentation: Experience with YOLOv8, YOLOv11, and

Detectron for object detection and dimension measurement.

Machine Learning & Deep Learning: Experience with regression, prediction,

anomaly detection, and clustering.

Image Tagging & Dataset Management: Proficient in image tagging and tools like

Roboflow, Supervisely for dataset creation and management.

AI Model Integration:

Expertise in working with OpenAI's GPT models (GPT-4,

GPT-5) and TensorFlow, PyTorch for model integration.

Training YOLO Models:

Experience in training YOLO models in cloud

environments and fine-tuning based on project-specific requirements.

Cloud Platforms (AWS & Azure): Experience with AWS and Azure for model

deployment, training, and infrastructure management.

Leadership: Proven experience in leading AI/ML teams, creating workflows, and

providing mentorship.

Industry Experience:

Construction & Architecture:

Experience applying computer vision to blueprint analysis and material estimation.

• Surveillance & Security: Expertise in using AI models for object detection and activity recognition.

Retail Security:

Applying computer vision for product tracking and customer

behavior analysis.

5+ years in AI/ML development, computer vision, and model training.

Experience with AI model integration, image tagging, and using tools like

Roboflow and Supervisely.

Familiarity with transformers and neural networks for visual recognition.

Experience with AWS and Azure for deploying and managing models in the cloud.

Interested candidate can send their resume at