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Analytics Engineer

Analytics Engineer

Siemens

5 - 9 years

0 Lacs

haryana

Posted:22 hours ago| Platform: Shine logo

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Skills Required

machine learning computer vision deep learning object detection opencv pcl 3d reconstruction photogrammetry python matlab ai semantic segmentation image understanding tensorflow pytorch caffe point cloud analytics geospatial data processing projective geometry cc

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As an Analytics Engineer, you will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. Your role will involve implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. Key Responsibilities: - Develop and optimize deep learning models for object detection, semantic segmentation, and classification. - Apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. - Train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. - Design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. - Develop algorithms for geospatial data processing, projective geometry, and deep learning on 3D data. - Optimize computational efficiency for handling large-scale 3D datasets. - Participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures. - Extend and integrate AI-based analytics into existing software solutions using Python, C/C++, and Matlab in a Linux environment. - Collaborate closely with cross-functional teams, including data scientists, software engineers, and domain experts. - Provide expertise in reviewing scientific literature and algorithm development while mentoring junior team members. Qualifications Required: - Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. - 5+ years of research experience in deep learning, machine learning, or related areas. - Strong programming skills in Python, C/C++, and Matlab. - Proven experience in AI and machine learning, particularly in computer vision and 3D data processing. - Familiarity with TensorFlow and PyTorch. - Experience with large-scale data processing and optimization techniques. - Knowledge of geospatial data processing and projective geometry. - Strong communication skills and the ability to mentor junior team members.,

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Analytics Engineer