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Technology Engineer - AI/ML Platform

gsstech-groupBengaluru, Karnataka, India
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Required Skills & Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Extensive hands-on experience with:Kubernetes / OpenShift ecosystem. MLOps and AI/ML deployment pipelines. Inference optimization technologies (TensorRT / ONNX / Triton / vLLM). Proficiency with CI/CD tools (Jenkins, Groovy, Ansible, Terraform). Strong scripting capabilities in Python. Experience with monitoring tools like Prometheus and Grafana. Solid understanding of distributed systems, microservices, and cloud-native architecture. Hands-on experience with AWS Cloud services (SageMaker, Bedrock preferred).

About the job

Join gsstech-group as a Technology Engineer specializing in AI/ML Platforms, MLOps, and GenAI infrastructure. In this pivotal role, you will be responsible for designing, building, and scaling cutting-edge AI systems. We are looking for a candidate who excels in containerized environments, model serving, and cloud-based AI architecture, with an emphasis on performance, scalability, and resilience.

Key Responsibilities:

  • Design, build, and maintain containerized applications leveraging technologies such as OpenShift, OpenShift AI, Kubernetes, and Helm Charts.
  • Deploy and optimize AI inference engines like Triton Inference Server and vLLM for high-performance model serving.
  • Lead the end-to-end model lifecycle management, including deployment, monitoring, scaling, and retraining workflows.
  • Implement comprehensive monitoring, logging, and alerting systems using Prometheus and Grafana.
  • Collaborate on projects focused on GenAI and LLM-based solutions, particularly Agentic AI solutions.
  • Develop and automate CI/CD pipelines with tools such as Jenkins, Groovy, Ansible, and Terraform.
  • Create automation scripts and internal tools using Python.
  • Architect and manage AI/ML solutions on AWS, utilizing services like SageMaker and Bedrock (preferred).
  • Enhance AI platforms across on-premise and cloud environments.
  • Ensure systems are highly scalable, fault-tolerant, and optimized for performance.
  • Contribute to architecture design, platform roadmap, and strategic technical decisions.

About gsstech-group

At gsstech-group, we are pioneering advancements in technology by focusing on innovative solutions in AI and machine learning. Our expert team is dedicated to creating scalable and resilient systems that empower our clients to harness the full potential of AI technologies.

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