Data Scientist

• *Experience Required:** 3\-8 Years
• *No. of vacancies:** 2
• *Job Type:** Full Time
• *Vacancy Role:** WFO
• *Job Category:** Development

• *Job Description**

• *We are seeking a highly skilled Data Scientist with strong expertise in computer vision and generative AI to join our AI team. The ideal candidate will have hands\-on experience developing, fine\-tuning, and deploying state\-of\-the\-art vision and diffusion models for real\-world applications. You will work on advanced image understanding, segmentation, object detection, depth estimation, image generation, and image editing systems.**

• *Roles \& Responsibilities**

• **Design, train, fine\-tune, and deploy computer vision and generative AI models.**
• **Develop solutions for object detection, segmentation, depth estimation, image inpainting, and virtual staging applications.**
• **Build and optimize end\-to\-end pipelines for image understanding and image generation tasks.**
• **Evaluate model performance using appropriate metrics and implement improvements.**
• **Create and maintain data annotation, training, validation, and testing workflows.**
• **Work closely with engineering teams to productionize AI models and services.**
• **Research and implement the latest advancements in computer vision, diffusion models, and multimodal AI systems.**
• **Optimize models for inference speed, memory consumption, and scalability.**
• **Develop robust APIs and model\-serving solutions for production environments.**
• **Document experiments, model architectures, and deployment processes.**

• *Qualifications**

• **3\+ years of hands\-on experience in Machine Learning, Deep Learning, Computer Vision, and Generative AI.**
• **Proven experience developing, optimizing, and deploying production\-grade AI solutions.**
• **Strong expertise in computer vision models including RF\-DETR, DETR variants, YOLO family, Faster R\-CNN, Mask2Former, Segment Anything Model (SAM), semantic segmentation, instance segmentation, Depth Anything/Depth Anything V2, and monocular depth estimation.**
• **Hands\-on experience with generative AI and diffusion models such as Stable Diffusion XL (SDXL), ControlNet, image inpainting/outpainting, image\-to\-image pipelines, LoRA training and fine\-tuning, and Hugging Face Diffusers.**
• **Strong understanding of CNNs, Transformers, Vision Transformers (ViTs), attention mechanisms, and modern deep learning architectures.**
• **Advanced proficiency in PyTorch, model training, fine\-tuning, hyperparameter optimization, and performance evaluation using metrics such as mAP, IoU, precision, recall, and F1 score.**
• **Strong Python programming skills with experience in FastAPI, Flask, or similar backend frameworks.**
• **Experience with Docker, containerized deployments, Linux environments, Git, and collaborative development workflows.**
• **Familiarity with cloud platforms such as AWS, GCP, Azure, or RunPod.**
• **Experience in dataset preparation, augmentation, annotation, and quality control using tools such as CVAT, Label Studio, Roboflow, or similar platforms.**
• **Knowledge of multimodal AI systems, vision\-language models (VLMs), MLOps practices, CI/CD pipelines, distributed training, and GPU optimization.**
• **Familiarity with OpenCV, image processing techniques, and synthetic data generation workflows.**
• **Experience working on projects involving virtual staging, furniture detection and removal, empty room generation, medical image segmentation, industrial inspection systems, depth\-aware image editing, real estate AI solutions, or multi\-model vision pipelines.**
• **Strong analytical thinking, problem\-solving, research capabilities, and the ability to independently implement emerging AI technologies.**
• **Excellent communication, collaboration, and technical documentation skills.**

Pay: ₹650,000\.00 \- ₹1,800,000\.00 per year

Benefits

• Flexible schedule
• Leave encashment
• Provident Fund

Work Location: In person