Ahead

AI Platform Engineer

Job · Full-timeWork from HomeIndia2-3 years1 opening

About this role

Ahead is hiring for AI Platform Engineer in India (Remote). This opening was published by Ahead on their official careers board (Lever) on 30 January 2026 and was confirmed live on 14 September 2026. Job details • Company: Ahead • Role: AI Platform Engineer • Location: India (Remote) • Work mode…

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Skills you'll use

PythonMachine LearningAWSAzureGCPKubernetesTerraformCI/CDTensorFlowPyTorch

What you'll do

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.
Required Skills & Experience
Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
Hands-on experience with Kubernetes and container orchestration.

Who can apply

Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
Hands-on experience with Kubernetes and container orchestration.
Familiarity with Run:ai or similar GPU scheduling platforms.
Expertise in Terraform and Ansible for infrastructure automation.
Experience with Jupyter Notebooks for ML development.
Knowledge of NVIDIA Enterprise Suite (CUDA, NeMo Framework, Triton, GPU drivers).
Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
Background in deploying and scaling AI workloads in cloud or hybrid environments.

Perks & benefits

Comprehensive health insurance coverage for employees, with options to extend coverage to dependentsPaid time off and company holidays, along with additional leave benefits as per policyFlexible work arrangements, supporting work-life balanceLearning and development opportunities to support continuous growth and upskillingEmployee wellness initiatives and programs focused on physical and mental well-beingRetirement and statutory benefits in line with India regulationsInclusive and people-first culture, with a strong focus on collaboration and ownership

About Ahead

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives…

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