Only 24h Left) Senior Machine Learning Engineer

4 weeks ago

Noida, Uttar Pradesh, India RMSI Full time
Role Overview:

We are looking for a skilled Software Engineer – Machine Learning with 3–5 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:

-3–5 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 algorithms—both supervised and unsupervised—for 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:

-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 teams.

Could 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.

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