Data Scientist
Actively Reviewing the ApplicationsColan Infotech Private Limited
Job Description
Dear candidates,
Greetings from COLAN INFOTECH Pvt Ltd.
we hiring for Data scientist (Computer Vision) developer
Experience: 5 Years to 10 Years
Work Location: Chennai / Bangalore
No of opening: 5
Interested candidate can drop their CV to: jacksonjohny@colanonline.com
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-α, 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 Skill’s & 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
Required Skills
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