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Senior Technology Engineer - AI/ML Platforms

icon building Company : Gsstech Group
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Job Description - Senior Technology Engineer - AI/ML Platforms

Description

We are seeking a highly skilled Senior Technology Engineer with strong expertise in AI/ML platforms, MLOps, and scalable inference systems. The ideal candidate will play a critical role in designing, deploying, and optimizing AI-driven solutions across on-premises and cloud environments, with a focus on GenAI and LLM-based applications.



Requirements

Key Responsibilities

  • Design, build, and maintain containerized applications using OpenShift, OpenShift AI, Kubernetes, and Helm Charts.
  • Integrate 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 maintenance in production environments.
  • Implement robust monitoring and alerting frameworks using Prometheus and Grafana.
  • Collaborate on GenAI and Large Language Model (LLM) initiatives, including Agentic AI systems.
  • Develop and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.
  • Build automation tools and scripts using Python to improve system efficiency and reliability.
  • Architect and manage AI/ML solutions on AWS Cloud, leveraging services such as Amazon SageMaker and AWS Bedrock (preferred).
  • Design and enhance AI platforms across hybrid environments (on-premise and cloud).
  • Ensure systems are scalable, resilient, and high-performing.
  • Contribute to architecture design decisions and define the future roadmap of AI platform capabilities.

Required Skills & Experience

  • Strong experience in MLOps, AI/ML platform engineering, or related roles.
  • Expertise in container orchestration using Kubernetes/OpenShift.
  • Hands-on experience with AI inference optimization (TensorRT, ONNX Runtime, Triton, vLLM).
  • Proficiency in cloud platforms (AWS preferred).
  • Experience with CI/CD and Infrastructure as Code tools (Jenkins, Terraform, Ansible).
  • Strong programming skills in Python.
  • Knowledge of monitoring tools like Prometheus and Grafana.
  • Experience working with LLMs, GenAI, or AI-based products is highly desirable.

Preferred Qualifications

  • Experience with GPU acceleration and performance tuning.
  • Exposure to Agentic AI frameworks and LLM orchestration tools.
  • Familiarity with hybrid cloud architectures.

Soft Skills

  • Strong problem-solving and analytical thinking
  • Ability to work in fast-paced, collaborative environments
  • Excellent communication and stakeholder management skills
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