AHEAD Business Verified Response target 24–48 hours

AI Platform Engineer

India · Full-time · Compensation not disclosed by employer

Category: ( Solutions Development )
Skills: See official employer job description
Experience: Mid
Openings: 4
Apply by: October 16, 2026

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 efficient 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 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.
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.

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).

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 include:

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

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for AI Platform Engineer.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.

Required competencies and technical background for this position:

See official employer job description

Estimated In-Hand Salary

New Tax Regime (AY 2026–27)

Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.

Annual CTC: ₹1,200,000

Monthly In-Hand ₹--

Annual Take-Home ₹--

Standard Deduction: ₹75,000 / yr

Employee PF (EPF): ₹-- / mo

Estimated Income Tax: ₹-- / mo