Skip to jobs
Remote Jobs Work From Home
Himalayas

AI Platform Engineer

AHEAD4 days ago

Where you can work from
Remote — India onlyIndia
Salary
Salary not disclosedThe employer did not publish a range. We do not estimate one.
Job type
Full-time
Experience
Mid level
AI & Machine LearningDevOps & Sysadmin

Skills

See more from us in Google Search — add us as a preferred source.

Apply on AHEAD

Opens himalayas.app in a new tab. No account needed.

via Himalayas · Himalayas

Job description

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

Originally posted on Himalayas

Apply on AHEAD

Opens himalayas.app in a new tab. No account needed.

via Himalayas · Himalayas

Job availability & source

Still listed on the employer's own board at our last check, 4 days ago

This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.

Source
Himalayas
Posted by the employer
19 Oct 2026
First seen by us
19 Oct 2026
Last checked
20 Oct 2026

via Himalayas — view on source

View the original posting

Similar remote jobs

More ai & machine learning jobs

More jobs at AHEAD

All 42 jobs

Related categories

Browse by skill and location