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Grid Enhancing Technologies - AI & Computer Vision Engineer

Grid Enhancing Technologies - AI & Computer Vision Engineer

Siemens

3 - 7 years

0 Lacs

haryana

Posted:5 days ago| Platform: Shine logo

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Skills Required

python opencv devops aws azure docker kubernetes tensorflow pytorch cicd google cloud mlops

Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a highly skilled Computer Vision & AI Engineer to join our dynamic team. You should have expertise in advanced computer vision and AI development, and a strong passion for creating innovative and scalable software products and systems. Your responsibilities will include designing, developing, and deploying algorithms within software products specifically tailored for the energy sector. Your key responsibilities in this role will be to design, implement, and deploy computer vision and AI solutions within software products and solutions. You will be expected to expand both personal and team expertise in 2D and 3D data analytics. It is important to stay up-to-date with the latest trends in computer vision, machine learning, and data science, while identifying practical applications of these technologies in the energy sector. You will also be responsible for developing and maintaining the necessary data pipelines and infrastructure for AI applications, performing model evaluation, tuning, and validation to improve accuracy and efficiency, as well as writing clean, maintainable, and efficient code in accordance with industry best practices. To excel in this role, you should possess a Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field, along with at least 3 years of experience in computer vision / AI solution development. Proficiency in Python, OpenCV, and machine learning frameworks such as TensorFlow or PyTorch is required. Strong analytical skills with extensive expertise in modern computer vision techniques, including object detection, semantic and instance segmentation, feature extraction, and 3D reconstruction are essential. You should also be proficient in the design, implementation, and evaluation of algorithms based on specific problem descriptions and be familiar with computer vision, machine learning for large datasets, as well as have knowledge of DevOps tools and CI/CD pipelines. Excellent problem-solving abilities, effective communication skills in English, and the ability to work independently and collaboratively within a team are crucial. Enthusiasm, creativity in problem-solving, critical thinking, and effective communication in a distributed team environment are highly valued. Preferred qualifications include experience with cloud platforms such as AWS, Azure, or Google Cloud, MLOps, and model deployment in production environments. Experience with large datasets, 3D data processing, and deep learning in 3D data, as well as familiarity with containerization technologies like Docker and Kubernetes, would be advantageous.,

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Grid Enhancing Technologies - AI & Computer Vision Engineer