Artificial Intelligence/Machine Learning Engineer

The AI/ML Engineer is responsible for designing, building, and deploying intelligent systems that enable predictive insights, automation, and smarter decision-making across the enterprise. This individual operates at the intersection of data science, software engineering, and applied research - translating complex business problems into scalable machine learning solutions that deliver measurable impact. Key Responsibilities:Develop, train, and optimize machine learning and deep learning models using Python, R, Tensor Flow, and PyTorch. Partner with product, engineering, and data teams to identify opportunities where AI can drive efficiency or innovation. Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring. Ensure responsible AI practices through bias detection, model explainability, and continuous model retraining. Stay current on emerging trends in generative AI, NLP, and computer vision to drive future capabilities. Ideal Background:5-10 years of experience in applied AI/MLStrong foundation in statistics, algorithms, and data engineering. Proven success deploying models in production environments (e.g., AWS Sagemaker, Azure ML).Advanced degree in Computer Science, Data Science, or related field preferred.