Job Summary We are looking for a skilled AI Engineer to design, build, and deploy scalable AI and machine learning solutions. The ideal candidate will have strong hands-on experience in developing production-ready AI models and working closely with engineering and business teams to deliver impactful AI-driven solutions. Requirements Must-Have Skills & Experience Core AI & Machine Learning Skills Strong experience as an AI Engineer working on real-world use cases Solid understanding of machine learning, deep learning, and AI algorithms Hands-on experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn Experience building, training, validating, and deploying ML models Data & Engineering Skills Strong knowledge of data preprocessing, feature engineering, and model evaluation Experience working with structured and unstructured data Familiarity with databases (SQL / NoSQL) and data pipelines Model Deployment & MLOps Experience deploying AI/ML models into production environments Understanding of MLOps practices, model monitoring, and versioning Exposure to Docker, Kubernetes, or cloud platforms (AWS, Azure, or GCP) is a plus Software Engineering Strong coding and debugging skills Understanding of APIs, microservices, and system integration Ability to write clean, maintainable, and scalable code Key Responsibilities Design, develop, and deploy AI/ML models for business use cases Collaborate with data scientists, software engineers, and stakeholders Optimize models for performance, scalability, and reliability Build end-to-end AI pipelines from data ingestion to inference Ensure AI solutions follow best practices for security, performance, and maintainability Monitor model performance and retrain models as required Document solutions and contribute to technical knowledge sharing