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Top Machine Learning Jobs in Chennai

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16 Days Ago
Chennai, TN
Remote
8,686 Employees
Entry level
8,686 Employees
Entry level
Appliances • Industrial • Manufacturing
The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.
16 Days Ago
Chennai, TN
923 Employees
Mid level
923 Employees
Mid level
Artificial Intelligence • Software • Automation
As a Senior Software Engineer at ABBYY, you will drive the end-to-end development of features and systems, ensuring high quality and performance. You will collaborate with cross-functional teams to deliver solutions, continuously improve the codebase, and monitor system reliability while staying current with industry trends.
16 Days Ago
Chennai, TN
923 Employees
Entry level
923 Employees
Entry level
Artificial Intelligence • Software • Automation
As a Developer Relations Engineer, you will grow a global community of developers, create technical content, advocate for developers’ needs, enhance developer experience, and represent the company at events. Your role focuses on building engagement and facilitating the use of our products.
19 Days Ago
Chennai, TN
880 Employees
Junior
880 Employees
Junior
Cloud • Software
The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.
21 Days Ago
Chennai, TN
Remote
3,057 Employees
Expert/Leader
3,057 Employees
Expert/Leader
Artificial Intelligence • Financial Services
The Sr. Staff ML Engineer will lead the development and implementation of a cutting-edge machine learning infrastructure, mentor a team of engineers, and collaborate with data scientists on data pipelines. Responsibilities include setting model deployment strategies using Docker and Kubernetes, building CI/CD pipelines, and ensuring best practices for model management and performance optimization.
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