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.
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Integrate and optimize AI inference engines such as Triton Inference Server and vLLM for high-performance model serving.
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Lead end-to-end model lifecycle management, including deployment, monitoring, scaling, and maintenance in production environments.
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Implement robust monitoring and alerting frameworks using Prometheus and Grafana.
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Collaborate on GenAI and Large Language Model (LLM) initiatives, including Agentic AI systems.
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Develop and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.
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Build automation tools and scripts using Python to improve system efficiency and reliability.
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Architect and manage AI/ML solutions on AWS Cloud, leveraging services such as Amazon SageMaker and AWS Bedrock (preferred).
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Design and enhance AI platforms across hybrid environments (on-premise and cloud).
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Ensure systems are scalable, resilient, and high-performing.
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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.
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Expertise in container orchestration using Kubernetes/OpenShift.
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Hands-on experience with AI inference optimization (TensorRT, ONNX Runtime, Triton, vLLM).
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Proficiency in cloud platforms (AWS preferred).
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Experience with CI/CD and Infrastructure as Code tools (Jenkins, Terraform, Ansible).
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Strong programming skills in Python.
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Knowledge of monitoring tools like Prometheus and Grafana.
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Experience working with LLMs, GenAI, or AI-based products is highly desirable.
Preferred Qualifications-
Experience with GPU acceleration and performance tuning.
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Exposure to Agentic AI frameworks and LLM orchestration tools.
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Familiarity with hybrid cloud architectures.
Soft Skills-
Strong problem-solving and analytical thinking
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Ability to work in fast-paced, collaborative environments
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Excellent communication and stakeholder management skills
