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AI Platform Engineer

AHEAD· Solutions Development
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RemoteFull-timePosted 8mo ago

About the role

AI Platform Engineer to design, deploy, and optimize AI/ML infrastructure, workflows, and automated pipelines across cloud and hybrid environments. Collaborates with data scientists and platform engineers to enable scalable, resource-efficient AI workloads.

Responsibilities

  • Kubernetes for AI/ML: Architect and manage Kubernetes clusters tailored to AI/ML workloads.
  • GPU Orchestration: Implement Run:ai and operators for GPU resource orchestration and workload scheduling.
  • Automation & Pipelines: Develop and maintain Python-based automation scripts and ML pipelines; automate infrastructure provisioning with Terraform and configuration management with Ansible.
  • Notebooks & Collaboration: Create and manage Jupyter Notebooks for experimentation and collaboration.
  • NVIDIA Integration: Integrate and optimize NVIDIA Enterprise Suite components (CUDA, NeMo Framework, Triton, TensorRT, GPU drivers) for accelerated computing.
  • MLOps Practices: Establish and maintain MLOps best practices for model lifecycle management, CI/CD, and monitoring (e.g., MLflow, Kubeflow).
  • Collaboration: Work closely with data scientists and platform engineers to ensure efficient resource utilization and scalability across environments.

Qualifications

  • 4+ years in platform architecture or solutions architecture, with 2+ years focused on AI/ML workloads.
  • Experience with high-performance computing (HPC) environments.
  • Familiarity with distributed training and model optimization techniques.
  • Certification in Kubernetes or cloud platforms (AWS, Azure, GCP).

Skills

Required:PythonMachine Learning frameworksKubernetesRun:ai or GPU scheduling platformsTerraformAnsibleJupyter NotebooksNVIDIA Enterprise SuiteMLOps toolsCloud / hybrid environments

Benefits

  • Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
  • Paid time off and company holidays, along with additional leave benefits as per policy
  • Flexible work arrangements, supporting work-life balance
  • Learning and development opportunities to support continuous growth and upskilling
  • Employee wellness initiatives and programs focused on physical and mental well-being
  • Retirement and statutory benefits in line with India regulations
  • Inclusive and people-first culture, with a strong focus on collaboration and ownership
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About AHEAD

Digital Platforms Engineered for Modern Enterprises

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.

Platform SolutionsInfrastructure ModernizationLifecycle ManagementSeamless Integration
Company profileWebsite

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