Job 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 .
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
This job post has been translated by AI and may contain minor differences or errors.
