340646 - 530256 INR - Annual
Pune, Maharashtra, India
Information Technology
Other
Modaka Technologies
Overview
About Camweara:
Camweara is at the forefront of AI-driven virtual try-on solutions, transforming the way users interact with fashion and accessories online. We are seeking a passionate and skilled Machine Learning Engineer to develop cutting-edge computer vision models that enhance our AI-powered virtual try-on experience.
Responsibilities:
- Design, develop, and optimize machine learning models for computer vision applications, particularly in virtual try-on.
- Implement deep learning techniques for object detection and image processing.
- Fine-tune and optimize existing models to improve accuracy and real-time performance.
- Work with datasets to annotate, preprocess, and augment images for training.
- Collaborate with software engineers to integrate models into production pipelines.
- Stay updated with the latest advancements in AI and computer vision, applying innovative techniques to improve our technology.
Requirements:
- Bachelor's/Master's/Ph.D. in Computer Science, AI, Data Science, or a related field.
- 2+ years of experience in machine learning and computer vision.
- Proficiency in deep learning frameworks like TensorFlow, PyTorch, or OpenCV.
- Strong programming skills in Python (NumPy, OpenCV, Pandas, etc.).
- Experience with CNNs, GANs, and transformer-based models for image processing.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and model deployment.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Knowing Javascript or WASM is a plus.
Preferred Skills:
- Experience in virtual try-on, 3D reconstruction, or pose estimation.
- Familiarity with Mediapipe, ONNX, or TensorRT for model optimization.
- Hands-on experience with edge AI or mobile deployment.
Job Type: Full-time
Pay: ₹340,646.37 - ₹530,255.58 per year
Schedule:
- Day shift
Application Question(s):
- What are the projects worked in computer vision?
- Have you worked on javascript or wasm?
Work Location: In person
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