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Senior Technology Engineer - AI/ML Platforms

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

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Experience Level

Senior

Qualifications

Required Skills & Experience:Extensive experience in MLOps, AI/ML platform engineering, or related roles. Expertise in container orchestration with Kubernetes/OpenShift. Proficient in AI inference optimization including TensorRT, ONNX Runtime, Triton, vLLM. Strong knowledge of cloud platforms (AWS preferred). Familiarity with CI/CD and Infrastructure as Code tools (Jenkins, Terraform, Ansible). Advanced programming skills in Python. Understanding of monitoring tools such as Prometheus and Grafana. Experience working with LLMs, Generative AI, or AI-based products is highly desirable.

About the job

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.

Key Responsibilities:

  • Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.
  • Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.
  • Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.
  • Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.
  • Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.
  • Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.
  • Create automation tools and scripts with Python to enhance system efficiency and reliability.
  • Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).
  • Enhance AI platforms across hybrid environments (on-premise and cloud).
  • Ensure systems are scalable, resilient, and high-performing.
  • Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

About gsstech-group

At gsstech-group, we are committed to innovation and excellence in AI and technology solutions. Our team thrives on collaboration and creativity, driving advancements in AI/ML platforms that empower businesses worldwide.

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