Machine Learning Engineer (Agentic AI)
Summary
Design, develop, deploy, and optimize machine learning models and Agentic AI systems at Cognizant — building cloud-native AI apps, data ingestion pipelines, and model-serving architectures with MLOps/AgentOps, CI/CD, monitoring, and governance. Remote role with a coworking office in Tashkent.
Область и стек: Машинное обучение
Должность: Cognizant
Компания: Cognizant
Зарплатная вилка: 6-10к + премия
Формат работы: Удаленка
Страна работы: Не РФ (но в целом похуй не чекают). Есть офис коворкинг в Ташкенте
Machine Learning Engineer (Agentic AI)
About the Role
As a Machine Learning Engineer, you will make an impact by designing, developing, deploying, and optimizing Agentic AI systems and machine learning solutions that solve complex business challenges. You will be a valued member of the AI and Data Engineering team and work collaboratively with Data Scientists, Data Engineers, Data Analysts, DevSecOps professionals, Product teams, and business stakeholders to deliver scalable, production-ready AI capabilities that create measurable business value.
In this role, you will help build next-generation AI products and services while leveraging modern engineering practices to deliver innovative customer experiences.
In This Role, You Will
Design, develop, deploy, and optimize machine learning models and Agentic AI systems that address real-world business challenges.
Collaborate with Data Science, Product, Engineering, and DevSecOps teams to develop scalable, secure, and production-ready AI solutions.
Build and maintain cloud-native AI applications, data ingestion pipelines, memory frameworks, and model-serving architectures.
Implement MLOps and AgentOps best practices, including automated testing, CI/CD/CT pipelines, monitoring, observability, and model governance.
Contribute to continuous improvement initiatives by evaluating emerging technologies and applying engineering best practices across AI development projects.
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