# Technology Engineer - AI/ML Platform

> GSSTech Group · Bengaluru, India · — · Posted 2026-03-30

**Workplace:** on_site

## Description

We are seeking a highly skilled **Technology Engineer** specializing in **AI/ML Platforms, MLOps, and GenAI infrastructure** to design, build, and scale next-generation AI systems. The ideal candidate will have strong experience in **containerized environments, model serving, and cloud-based AI architecture**, with a focus on performance, scalability, and resilience.

## Requirements

### **Key Responsibilities**

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

### **Required Skills & Qualifications**

-   Bachelor’s or Master’s degree in **Computer Science, Engineering, or related field**
-   Strong hands-on experience with:

-   **Kubernetes / OpenShift ecosystem**
-   **MLOps and AI/ML deployment pipelines**
-   **Inference optimization (TensorRT / ONNX / Triton / vLLM)**

-   Experience with **CI/CD tools** (Jenkins, Groovy, Ansible, Terraform)
-   Proficiency in **Python scripting and automation**
-   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)

### **Preferred Qualifications**

-   Experience working on **GenAI / LLM / Agentic AI use cases**
-   Knowledge of **GPU acceleration and performance tuning**
-   Exposure to **hybrid cloud (on-prem + cloud) AI platforms**
-   Familiarity with **enterprise-scale AI platform engineering**

### **What We Offer**

-   Opportunity to work on **cutting-edge AI/GenAI platforms**
-   Exposure to **large-scale enterprise AI deployments**
-   Collaborative and innovation-driven engineering environment
-   Competitive compensation and growth opportunities

## Apply

[Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/53772BA405/apply)

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