Senior AI Engineer

About the job

We are seeking a Senior AI Engineer who can design, build, and deploy production-grade AI systems across diverse domains—not limited to Generative AI. This role involves working across Computer Vision, Machine Learning, NLP/GenAI, Time-Series Forecasting, and Unsupervised Learning, while owning end-to-end architecture and delivery. Key Responsibilities • Design, build, and deploy AI/ML solutions across domains such as Computer Vision, NLP, forecasting, and anomaly detection. • Translate business problems into machine learning solutions, experiments, and measurable KPIs. • Select appropriate models and techniques based on use case requirements. • Optimize models for performance, scalability, latency, and cost efficiency. • Develop and maintain full-stack applications using technologies like React, FastAPI, Flask, and Node.js. • Build APIs, backend systems, and integrate AI models into production environments. • Collaborate with data scientists and cross-functional teams to deliver end-to-end solutions. • Write clean, scalable, and well-documented Python code for data processing and model development. • Deploy and manage applications on cloud platforms such as AWS, Azure, or Google Cloud. • Implement CI/CD pipelines, containerization, and ensure system reliability. • Work in Agile environments, participate in sprints, and deliver iterative improvements. • Mentor junior engineers and contribute to best practices and team growth.