About the job

About the role

AI Engineer - Data Science Specialist

Dogma Group is seeking an AI/ML Engineer specializing in computer vision and data science to develop cutting-edge AI applications. In this role, you'll transform complex business questions into technical solutions and deliver actionable insights through advanced machine learning & computer vision techniques and data science methodologies. Experimentation and innovation will be central to your work in this hybrid role that leverages both data infrastructure expertise and analytical prowess.

Responsibilities:

• Design, develop, and optimize state-of-the-art machine learning models, computer vision systems and deep learning models for classification, object detection, segmentation, and visual pattern recognition
• Implement and customize modern vision architectures (CNNs, Transformers, diffusion models) to solve complex visual data challenges
• Create robust data pipelines for data processing, augmentation, and feature extraction
• Develop data science solutions that combine computer vision with other data modalities for comprehensive insights
• Build, train, validate, and deploy end-to-end machine learning and computer vision models
• Perform exploratory data analysis to identify patterns and opportunities for optimization
• Design and implement image processing algorithms and feature extraction techniques
• Implement robust evaluation metrics and A/B testing frameworks for computer vision systems

Required Skills/Competencies:

• Minimum of 4 years of relevant work experience in AI engineering with significant focus on computer vision and data science
• Proven expertise in developing and deploying computer vision systems for real-world applications
• Experience with modern deep learning frameworks for vision tasks (PyTorch, TensorFlow)
• Proficiency with computer vision libraries and tools (OpenCV, scikit-image, PIL/Pillow, torchvision)
• Strong data science skills for visual data analysis and processing
• Degree in Computer Science, Data Science, Machine Learning, Computer Vision or related field
• Advanced Python programming skills with expertise in NumPy, Pandas, scikit-learn, matplotlib, seaborn
• Strong software engineering practices: Object-Oriented Programming, SOLID principles, Git, Docker
• Knowledge of cloud-based ML/CV pipelines on platforms like Azure, AWS, or GCP
• Excellent communication skills to explain complex visual data insights to technical and non-technical stakeholders