Job Description
Skills:
Deep Learning, Computer Vision, Image Processing, Machine Learning, TensorFlow, Generative AI,
Greetings from COLAN INFOTECH PVT LTD.
We have a significant opening for a Senior Data Scientist role with a focus on Computer Vision.
Experience: 5years to 10years
Skills: Deep learning, Computer vision, Image processing, Machine learning, Pytorch, Gen AI
No of openings: 5
Interested candidates can drop their CV at: [Confidential Information]
Please find the JD below
Job Description
Role Overview
We are seeking a highly experienced Senior Data Scientist specializing in Computer Vision and Generative AI to lead cutting-edge R&D and model deployment efforts. You will drive innovation in vision-language and diffusion-based systems, from research prototypes to scalable production-grade pipelines.
Key Responsibilities
Design, train, and optimize deep learning models for image generation, image-to-image translation, and text-to-image synthesis.
Conduct advanced R&D in Generative-AI, including Diffusion Models, Transformers, VAEs, and GANs.
Explore Vision-Language and multi-modal learning (text, image, 3D) with models like CLIP, Flamingo, PixArt-, and Qwen2-VL.
Implement distributed training and model parallelism using PyTorch, Deep Speed, and Hugging Face Accelerate.
Lead experiments with LoRA, QLoRA, adapters, and parameter-efficient fine-tuning methods.
Develop evaluation pipelines for visual realism, garment fidelity, and human perceptual quality metrics.
Collaborate with product and engineering teams to deploy models to production using Triton, Torch Serve, or Fast-API.
Design automated ML-Ops pipelines for training, evaluation, and deployment (CI/CD, monitoring, retraining).
Mentor junior ML-engineers and data scientists, ensuring best practices in model reproducibility, experiment tracking, and code quality.
Required Skills & Experience
Hands-on experience in applied ML/AI, focusing on Computer Vision and Generative Models.
Proficiency in image generation, in painting, style transfer, human parsing, and pose estimation.
Hands-on experience with Stable Diffusion, ControlNet, LoRA fine-tuning, and Hugging Face Diffusers.
Strong knowledge of architectures such as U-Net, ViT, Transformer-based encoders/decoders, VAE, and GAN variants.
Expertise in distributed training, data parallelism, and GPU/TPU acceleration.
Experience with synthetic data generation, texture alignment, and dataset curation pipelines.
Proven track record of deploying production-grade ML systems (Fast-API, Triton, Torch Serve, or REST APIs).
Proficient with Python, PyTorch, OpenCV, NumPy, Hugging Face, and WandB/MLflow.
Interested candidate can drop their CV to: [HIDDEN TEXT]
