Technology Engineer - AI/ML Platform

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