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 and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
We are seeking an experienced AI Platform Engineer to design, deploy, and optimize AI/ML infrastructure, AI workflows, and automated pipelines.
This role focuses on building scalable environments for training and deploying machine learning models, leveraging modern orchestration, automation, and GPU acceleration technologies. You will collaborate with data scientists and platform engineers to drive effective resource utilization and scalable operations across cloud and hybrid environments.
Key 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 Fram
📌 AI Platform Engineer (India)
🏢 AHEAD
📍 India