The purpose of AI and Senior Engineer position is to design, develop, and deploy scalable AI/ML solutions that drive business value. The ideal candidate combines strong engineering skills with a deep understanding of machine learning techniques to build robust, production-grade models and services.
Model Development:Design and implement advanced machine learning algorithms (supervised, unsupervised, and deep learning). Build and optimize predictive models for real-world business problems. AI Solution Engineering:Convert business requirements into production-ready ML pipelines, from data ingestion to deployment. Integrate ML models into existing applications using APIs or microservices. Performance Optimization:Improve model accuracy, scalability, and inference performance. Implement techniques like quantization, pruning, and hyperparameter tuning. Collaboration:Work closely with product managers, software engineers, and other AI/ML engineers to deliver end-to-end solutions. Continuous Improvement:Stay updated on emerging AI/ML technologies and recommend new tools, libraries, and approaches. Mentor junior engineers and contribute to team best practices.
Educational Requirements: Bachelor’s Computer Science, Artificial Intelligence, Machine Learning, or a related field. Required Industry Experience: Minimum 4 Years of Experience in any AI related fields. Technological Requirements: Excellent command of Microsoft Suites. Language Requirements: Excellent command of English (spoken and written).