Responsibilities: This ML Ops / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure. Develop and maintain
automation scripts
using
Linux shell scripting
,
Python
, or other relevant tools. Ensure seamless
deployment
and
integration
between
cloud/prem environments
(AWS). Integrate AI models into production environments using containerized platforms such as
OpenShift
. Implement and maintain
network security protocols
to safeguard AI systems and data pipelines. Collaborate with
cross-functional teams
to understand AI workflows and translate them into robust engineering solutions. Monitor and optimize system
performance
,
reliability
, and
scalability
. Support
CI/CD processes
and
infrastructur...