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 Have :

• 35 years of hands-on experience in designing or implementing AI / ML solutions, preferably in enterprise or large-scale environments.
• 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 Have :
• Understanding of MLOps / LLMOps workflows for scalable AI deployments.
• 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 Have :
• Certifications in AI / ML or cloud platforms (AWS, Azure, GCP).
• 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

(ref : hirist.tech)