Job Description

Data Scientist (AI / Deep Learning)

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

Experience: 2–3 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.