Principal AI & Computer Vision Engineer

5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Computer Vision & AI Engineer at our company, you will play a crucial role in designing, developing, and deploying advanced computer vision and AI solutions tailored for the energy sector. Your responsibilities will include: - Designing, implementing, and deploying advanced computer vision and AI solutions within software products and solutions. - Expanding personal and team expertise in 2D and 3D data analytics. - Keeping up-to-date with the latest trends in computer vision, machine learning, and data science for practical applications in the energy sector. - Documenting developed methods and processes and presenting findings to stakeholders. - Collaborating with cross-functional teams to integrate AI solutions seamlessly into existing business workflows. - Ensuring performance, quality, and scalability of applications driven by computer vision and AI. - Developing and maintaining data pipelines and infrastructure for AI applications. - Performing model evaluation, tuning, and validation to enhance accuracy and efficiency. - Writing clean, maintainable, and efficient code following industry best practices. - Participating in code reviews and offering constructive feedback to team members. Qualifications and Skill Sets required for this role: - Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in computer vision / AI solution development. - Proficiency in Python, OpenCV, and machine learning frameworks like TensorFlow or PyTorch. - Strong analytical skills with expertise in modern computer vision techniques. - Knowledge of DevOps tools, CI/CD pipelines, and machine learning for large datasets. - Excellent problem-solving abilities, capable of working independently and collaboratively. - Strong communication skills in English (German proficiency is a plus). - Enthusiasm, creativity in problem-solving, critical thinking, and effective communication in a distributed team environment. Preferred Qualifications: - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Experience with MLOps and model deployment in production environments. - Experience with large dataset, 3D data processing, and deep learning. - Familiarity with containerization technologies like Docker and Kubernetes.,

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