Colan Infotech - Senior Data Scientist

Description:

Skills: Deep Learning, Computer Vision, Image Processing, Machine Learning, TensorFlow, Generative AI,

• We have a significant opening for a Senior Data Scientist role with a focus on Computer Vision.
• Experience: 5 to 10 Years.
• Skills: Deep learning, Computer vision, Image processing, Machine learning, Pytorch, Gen AI.
• No of openings: 5.

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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.