AI Platform Engineer India (Solutions Development)

Job Overview

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.

Key Responsibilities

• Architect and manage Kubernetes clusters tailored to AI/ML workloads.
• Implement Run:ai and operators for GPU resource orchestration and workload scheduling.
• Develop and maintain Python-based automation scripts and ML pipelines.
• Create and manage Jupyter Notebooks for experimentation and collaboration.
• Integrate and optimize NVIDIA Enterprise Suite components for accelerated computing.
• Establish and maintain MLOps best practices for model lifecycle management.
• Work closely with data scientists and platform engineers to ensure efficient resource utilization.

Required Qualifications

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.

Why AHEAD

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

India Employment 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.