AI Engineer – Data Science Specialist

Industry Other
Category Engineering
Location Kathmandu, Nepal
Expiry date May 18, 2025 (Expired)

Job Description

Dogma Group is seeking an AI/ML Engineer specialising 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 optimise 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 customise 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 optimisation
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)
Demonstrated experience in leveraging Generative AI models, such as GPT, and LLMs for business applications and projects, including content creation, natural language understanding, and automated decision-making.
Proficiency with computer vision libraries and tools (OpenCV, scikit-image, PIL/Pillow, torch vision)
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

Benefits