AI / Machine Learning Engineer
digitalxnode
Job Description
- Design, develop, and implement AI and machine learning models for business applications and digital platforms
- Build intelligent automation solutions using machine learning, deep learning, and data-driven approaches
- Develop, train, evaluate, and optimize machine learning algorithms and neural network models
- Work on projects related to computer vision, image analysis, object detection, and pattern recognition
- Develop Natural Language Processing (NLP) solutions for text analysis, classification, and language understanding tasks
- Collaborate with software development teams to integrate AI functionalities into existing systems and applications
- Create and maintain scalable data processing workflows, pipelines, and model deployment processes
- Analyze structured and unstructured datasets to generate insights and support predictive decision-making
- Conduct data preprocessing, feature engineering, model validation, and performance tuning activities
- Apply statistical modeling and predictive analytics techniques to solve business and operational challenges
- Use AI frameworks and libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, and OpenCV for model development
- Participate in technical planning sessions, architecture discussions, design reviews, and project meetings
- Monitor AI model performance, troubleshoot issues, and improve system efficiency and scalability
- Prepare technical documentation, model reports, workflow updates, and implementation guidelines
- Ensure adherence to coding standards, security guidelines, and software quality best practices
- Support deployment, maintenance, and continuous improvement of AI-powered applications and services
- Stay updated with emerging AI technologies, machine learning trends, research advancements, and industry best practices