Senior AI Engineer

DescriptionDesign, develop, and maintain advanced AI-powered applications on top of big data platforms.Collaborate cross-functionally with data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions.Implement robust AI engineering practices, including model deployment, monitoring, and performance optimization.Build and optimize data engineering pipelines for training, evaluating, and serving AI models at scale.Write clean, well-documented code that adheres to best software engineering practices.Research, evaluate, and integrate new AI technologies and tools to enhance existing products and processes.Ensure security, integrity, and reliability of data throughout the AI application lifecycle.Troubleshoot and resolve technical issues in AI pipelines and applications.Participate in architectural discussions and contribute to the technical roadmap.Built AI-driven features such as:Search: Auto-suggestions and relevance ranking powered by trends and user behavior.Recommendations: Content-based and collaborative filtering models for personalized suggestions.Chatbot: Conversational assistant for interactive, personalized user support.Text-to-Speech: Natural voice generation to enhance accessibility and user experience.Climax Detector: AI model that analyzes video content to automatically identify emotional peaks and key dramatic moments.Frame Finder: Intelligent system for extracting the most representative or high-quality frames from videos for highlights, thumbnails, or previews.Poster Auto: Automated poster generation tool that selects key frames, composes layouts, and enhances visuals to create promotional materials.QualificationsMinimum 4 years of professional experience in AI engineering, Software engineering, Machine Learning, or related fields.Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline.Proven experience in AI engineering, including building, deploying, and maintaining AI applications.Strong software engineering skills with proficiency in one or more languages: Python, Golang, …Solid experience with data engineering, big data technologies (e.g., Hadoop, Spark), and distributed systems.Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/Big Data services.Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and model operationalization (MLOps).Excellent problem-solving skills and ability to work both independently and in a team environment.Strong communication skills and a passion for building impactful AI solutions