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Job Summary
Key Responsibilities
Design, build, and optimize scalable machine learning models and pipelines (feature engineering, training, inference) Develop and maintain MLOps frameworks, including model monitoring, performance tracking, and drift detection Work with large datasets using distributed computing frameworks (, Spark) Deploy and manage ML solutions in cloud environments (AWS, Azure, or GCP) Write high-quality, production-ready code with strong testing and documentation practices Collaborate with cross-functional teams to translate business needs into technical solutions Parti...
Our client is seeking a Senior AI Engineer (Machine Learning) to support the design, development, and scaling of enterprise-grade machine learning solutions. This role will focus on building production-ready ML models, developing end-to-end pipelines, and implementing MLOps best practices in a high-volume, data-driven environment.
Key Responsibilities
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