RMSI - Senior Machine Learning Engineer - Artificial Intelligence/Computer Vision

Role Overview :

We are looking for a skilled Software Engineer Machine Learning with 35 years of experience in developing and deploying AI/ML solutions at an enterprise level.

The ideal candidate will have hands-on expertise in Computer Vision, Deep Learning, and Generative AI, along with strong programming and problem-solving skills.

You will work on innovative AI-driven GIS applications, multimodal models, and real-time feature detection systems, contributing to the design and enhancement of AI/ML platforms across the organization.

Must Have :

- Strong programming skills in Python, including use of libraries such as TensorFlow, Keras, NumPy, Pandas, scikit-learn, and OpenCV.

- Experience with Convolutional Neural Networks (CNNs) for real-time object detection using models like YOLO, and segmentation using SAM and U-Net, with practical use of multiple backbones.

- Proficiency in image classification using CV models like VGG, YOLOv5, etc.

- Experience with machine learning algorithmsboth supervised and unsupervisedfor classification and regression tasks.

- Experience in Generative AI and Large Language Models (LLMs), including speech-to-text and multi-modal input models.

- Strong knowledge of data structures, algorithms, and mathematics/statistics related to AI.

- Experience with LSTM/Recurrent Neural Networks (RNNs) or hybrid neural architectures.

- Basic understanding of computer vision concepts and GIS support functions.

Should Have :

- Experience with agent-based AI systems (Agentic AI) or agent design patterns.

- Experience working with or contributing to enterprise-grade data platforms, ensuring performance and interoperability with AI workloads.

- Exposure to segmentation techniques for extracting coarse features and creating multiple image segments.

- Good communication, collaboration, and analytical skills for engaging with cross-functional teams.

Could Have :

- Familiarity with Theano, SciPy, and other scientific computing libraries.

- Experience in AI-focused research, innovation programs, or open-source contributions.

- Interest in exploring emerging AI paradigms such as federated learning, multi-agent systems, and Responsible AI practices