Posted on: 28/05/2026
Description :
We are looking for a highly skilled and passionate AI/ML Engineer to join our growing technology team. The ideal candidate will have strong expertise in Artificial Intelligence, Machine Learning, Computer Vision, CNN models, and Image Processing techniques. The candidate will be responsible for designing, developing, and deploying scalable AI/ML solutions to solve complex business problems and enhance automation capabilities.
This role offers an exciting opportunity to work on cutting-edge technologies and innovative AI-driven applications in a collaborative and fast-paced environment.
Key Responsibilities :
- Design, develop, and implement AI/ML models for real-world business applications.
- Build and optimize Computer Vision and Deep Learning models using CNN architectures.
- Develop image processing pipelines for object detection, classification, segmentation, and pattern recognition tasks.
- Train, evaluate, fine-tune, and deploy machine learning and deep learning models.
- Work with large datasets and perform data preprocessing, feature engineering, and model validation.
- Collaborate with cross-functional teams including product, engineering, and business stakeholders.
- Research and implement advanced AI/ML algorithms and frameworks.
- Optimize model performance, scalability, and inference speed.
- Monitor deployed models and continuously improve accuracy and efficiency.
- Maintain proper documentation for models, workflows, and technical processes.
Required Skills & Technical Expertise :
Core Skills :
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning
- Computer Vision
- CNN (Convolutional Neural Networks)
- Image Processing
Technical Skills :
- Strong programming experience in Python
- Experience with TensorFlow, PyTorch, Keras, or similar frameworks
- Knowledge of OpenCV and image processing libraries
- Understanding of neural network architectures and deep learning concepts
- Experience with data preprocessing and model optimization
- Familiarity with model deployment techniques and APIs
Additional Preferred Skills :
- Knowledge of object detection models such as YOLO, Faster R-CNN, SSD, etc.
- Experience with cloud platforms like AWS, Azure, or GCP
- Understanding of MLOps concepts and deployment pipelines
- Familiarity with Docker, Kubernetes, or CI/CD pipelines is a plus
Qualifications :
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 6+ years of relevant experience in AI/ML and Computer Vision projects
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