Job Title: Agentic AI Engineer
Job Overview:
We are looking for an experienced Agentic AI Engineer to join our team. The ideal candidate will have expertise in machine learning, computer vision, and AI-driven automation. The role involves applying AI models (including GPT-4, YOLO, Vision Transformers) for data extraction, object detection, and various types of analysis. Experience with image tagging, training YOLO models, and leading AI/ML teams is required, as well as working with tools like Roboflow, Supervisely, and cloud platforms (e.g., Google Colab, AWS, Azure).
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.
Preferred Qualifications:
Bachelor’s degree in Computer Science, AI, Machine Learning, or related field.
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.
Key Competencies:
Strong problem-solving and leadership skills.
Excellent written and verbal communication.
Ability to adapt to new technologies and manage multiple tasks effectively.
Pay: ₹70,000.00 - ₹80,000.00 per month
Benefits:
- Flexible schedule
- Provident Fund
- Work from home
Work Location: Hybrid remote in New Town, Kolkata, West Bengal
