:

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.

- Strong 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).

- Strong programming skills in Python, with positive understanding of algorithms and data structures.

- Experience working with cloud platforms (AWS, Azure, GCP).

- Familiarity with MLOps tools (MLflow, DVC, Kubernetes, Git).

- Strong analytical and problem-solving skills with the ability to work independently.

📌 Data Scientist (Chennai)
🏢 RECEX
📍 Chennai