AI Engineer

Key Responsibilities

• Design and develop machine learning and deep learning models to solve business and automation problems.
• Build, train, validate, and optimize AI/ML models for accuracy, scalability, and performance.
• Develop and maintain data processing pipelines for structured and unstructured data.
• Implement end-to-end AI solutions including data ingestion, preprocessing, model development, deployment, and monitoring.
• Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.
• Integrate AI models into production systems and applications.
• Monitor model performance and retrain models as needed to maintain accuracy and reliability.
• Work on feature engineering, data transformation, and dataset preparation for model training.
• Develop APIs and services to expose AI capabilities to applications and systems.
• Ensure scalability, reliability, and efficiency of AI systems in cloud environments.
• Participate in code reviews, model reviews, and technical discussions.
• Stay updated with advancements in AI, ML, and data engineering technologies.
• Document model design, workflows, and technical implementations.