Job Description: Key Responsibilities
Develop and optimize computer vision models for object detection, segmentation, classification, tracking, OCR, etc.
Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment.
Implement advanced image processing techniques for feature extraction and image enhancement.
Design and train models using CNNs, RNNs, Transformers, Vision Transformers (ViT), GANs, and diffusion models.
Work on Generative AI applications such as image generation, style transfer, synthetic data creation, and multimodal models.
Develop scalable machine learning workflows, including model evaluations and experiment tracking.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Deploy ML models into production using MLOps practices and monitor performance.
Research and integrate the latest advancements in AI, computer vision, and GenAI.
Prepare documentation, reports, and present insights to stakeholders.





Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
5+ years of experience in data science and computer vision.
Robust expertise in:
Deep Learning (PyTorch, TensorFlow, Keras)
Computer Vision & Image Processing (OpenCV, PIL, scikit-image)
Machine Learning (scikit-learn, XGBoost, LightGBM)
Generative AI (GANs, diffusion models, LLM-based multimodal systems)
Hands-on experience with model deployment (TensorRT, ONNX, Docker, FastAPI).
Robust programming skills in Python, with good understanding of algorithms and data structures.
Experience working with cloud platforms (AWS, Azure, GCP).
Familiarity with MLOps tools (MLflow, DVC, Kubernetes, Git).
Robust analytical and problem-solving skills with the ability to work independently.

📌 Data Scientist Chennai
🏢 RECEX
📍 Chennai