Job Summary:

We are seeking a highly skilled Computer Vision & AI Engineer to join our dynamic team. The ideal candidate will have expertise in advanced computer vision and AI development, along with a passion for creating innovative and scalable software products and systems. In this role, you will be responsible for designing, developing, and deploying algorithms within software products specifically tailored for the energy sector.

How You’ll Make an Impact (key responsibilities of role)

Design, implement and deploy computer vision and AI solutions within software products and solutions. Expanding both 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, while identifying practical applications of these technologies in the energy sector. Develop and maintain the necessary data pipelines and infrastructure for AI applications. Perform model evaluation, tuning, and validation to improve accuracy and efficiency. Write clean, maintainable, and efficient code in accordance with industry best practices.

What You Bring (required qualifications and skills)

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. 3+ years of experience in computer vision / AI solution development. Proficiency in Python, OpenCV and machine learning frameworks such as TensorFlow or PyTorch. Strong analytical skills with extensive expertise in modern computer vision techniques, including object detections, semantic and instance segmentation, feature extraction and 3D reconstruction. Proficiency in Design, implementation, and evaluation of algorithms based on specific problem description. Familiar with computer vision, machine learning for large data sets. Knowledge of DevOps tools and CI/CD pipelines. Excellent problem-solving abilities, capable of working both independently and collaboratively within a team. Strong communication skills in English. Demonstrates 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 in 3D data, Familiarity with containerization technologies like Docker and Kubernetes.