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Agivant Technologies

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4.5

based on 22 Reviews

17 Agivant Technologies Jobs

GraphDB Solutions Lead

Agivant Technologies

4.5

based on 22 Reviews

4-7 years

Pune

1 vacancy

GraphDB Solutions Lead

Agivant Technologies

posted 5hr ago

Job Role Insights

Flexible timing

Key skills for the job

Manual Testing Software Configuration Management Automation Testing Machine Learning IT Infrastructure Scheduling

+ 2 more

Job Description

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We are looking for a highly skilled Infrastructure Engineer to design and implement scalable and efficient infrastructure for machine learning models and AI applications.
Key Responsibilities

Design and implement highly scalable infrastructure for machine learning models and AI applications.
Develop and maintain infrastructure-as-code ( IaC ) using Terraform and configuration management tools such as Ansible and Puppet for automated provisioning and orchestration.
Develop and maintain CI/CD pipelines to ensure seamless deployment and monitoring of machine learning models.
Collaborate with data scientists and software engineers to integrate machine learning solutions into production environments.
Automate routine tasks and workflows to improve efficiency and reduce manual intervention.
Monitor and troubleshoot production systems to ensure high availability and performance.
Implement security best practices to protect sensitive data and ensure compliance with industry standards.
Identify and resolve infrastructure gaps to ensure reliable, efficient, and scalable solutions.
Develop advanced AI/ML infrastructure solutions to enhance the efficiency of skilled ML teams.
Deploy and manage open-source GenAI components, such as vector databases and various AI/ML models, ensuring seamless integration and optimal performance within the Kubernetes environment.

Requirements

4 to 7 years of hands-on experience as Infrastructure Engineer with a strong emphasis on Kubernetes knowledge .

Experience in designing and implementing the scalable and efficient infrastructure with Kubernetes based automation.

Experience in d eveloping and maintaining CI/CD pipelines to ensure seamless deployment and monitoring of machine learning models.

Experience to automate routine tasks and workflows to improve efficiency and reduce manual intervention.

Experience to monitor and troubleshoot production systems to ensure high availability and performance.

Experience to implement security best practices to protect sensitive data and ensure compliance with industry standards.

Design and implement solutions for critical areas, including Distributed storage systems, Scheduling systems, High availability capabilities, Core reliability issues within large-scale GPU clusters.

Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, Ansible).

Experience to implement and manage GPU infrastructure within Kubernetes clusters to support high-performance computing and AI/ML tasks, ensuring scalability and efficiency.

This is not a support-focused role \u2014we are looking for engineers who have built, deployed, and optimized complex distributed systems from the ground up.