Job Description

Job Summary : Client - AIML Engineer
Develop software tooling/methodologies for efficient design of Client accelerators.
Work closely with Compiler and Client Researchers to enhance machine learning acceleration capabilities.
Assist with performance/power analysis of machine learning models.
Work closely with System Architects to enable new Client use cases.
Work with FPGA engineers and firmware teams to perform early prototyping.
Algorithmic modeling of machine learning workloads.
Deliver Client software models and components that solve real-world business problems while working in collaboration with the Product and Data Science teams.
Solve complex problems by writing and testing application code developing and validating Client models and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art next generation big data and machine learning applications.
Leverage cloud-based architectures and technologies to deliver optimized Client models at scale.
Construct optimized data pipelines to feed Client models.
Use programming languages like Python Scala or Java.
Leverage continuous integration and continuous deployment best practices including test automation and monitoring to ensure successful deployment of Client models and application code.

Roles & Responsibilities :
Technical Lead Bachelors in science engineering or equivalent.
Interact with clients and internal stakeholders provide guidance to team members and execute projects through the course of coding quality control deployment maintenance and support in order to deliver the project on time by ensuring maximum application uptime WITHIN the limits of SLAs Cognizant and clients standards processes and policies..
Project Planning and Set-up- Understand
Job Summary : Client - AIML Engineer
Develop software tooling/methodologies for efficient design of Client accelerators.
Work closely with Compiler and Client Researchers to enhance machine learning acceleration capabilities.
Assist with performance/power analysis of machine learning models.
Work closely with System Architects to enable new Client use cases.
Work with FPGA engineers and firmware teams to perform early prototyping.
Algorithmic modeling of machine learning workloads.
Deliver Client software models and components that solve real-world business problems while working in collaboration with the Product and Data Science teams.
Solve complex problems by writing and testing application code developing and validating Client models and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art next generation big data and machine learning applications.
Leverage cloud-based architectures and technologies to deliver optimized Client models at scale.
Construct optimized data pipelines to feed Client models.
Use programming languages like Python Scala or Java.
Leverage continuous integration and continuous deployment best practices including test automation and monitoring to ensure successful deployment of Client models and application code.

Roles & Responsibilities :
Technical Lead Bachelors in science engineering or equivalent.
Interact with clients and internal stakeholders provide guidance to team members and execute projects through the course of coding quality control deployment maintenance and support in order to deliver the project on time by ensuring maximum application uptime WITHIN the limits of SLAs Cognizant and clients standards processes and policies..
Project Planning and Set-up- Understand

Job Details:

Posted Date : 2022-05-07

Job type : Full Time

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