Data Scientist

Data Scientist (AI / Deep Learning)

Educational Qualification: B.Tech in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related field.

Experience: 23 years of hands-on experience developing Computer Vision, Deep Learning, and LLM-based systems, including RAG, prompt engineering, embedding retrieval, and model fine-tuning.

Role Description: Work on AI models for smart car parking and mobility solutions, including computer vision, multimodal data, and intelligent automation.

Key Responsibilities

Design and optimize ML/DL models for classification, segmentation, object detection, OCR, recommendation systems, and LLM applications.

Develop LLM systems including RAG pipelines, embeddings search, prompt engineering, and multimodal AI workflows.

Build efficient algorithms for large-scale datasets and optimize models for edge or embedded deployment.

Research new AI techniques such as Transformers, GANs, and self-supervised learning. Collaborate with ML engineers, backend developers, and product teams

Technical Skills

Strong understanding of CNNs, RNNs, LSTMs, Transformers, GANs, and multimodal models.

Programming skills in Python and C++ with PyTorch or similar frameworks.

Experience in data preprocessing, feature engineering, and data augmentation.

Knowledge of YOLO, OCR systems, camera calibration, image rectification, and feature extraction. Experience deploying models on NVIDIA Jetson, Raspberry Pi, or similar edge devices.

Strong data structures and algorithms fundamentals

Good to Have

Experience with Git, Docker, Kubernetes, CI/CD pipelines.

Familiarity with AWS, GCP, or Azure.

Exposure to unit testing, agile development, and CI practices.