Artificial Intelligence And Machine Learning Developer

Pay: ₹1, - ₹1, 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, YOLOv
11, 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, YOLOv
11, 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 Tensor Flow, 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