AI Platform Engineer
AHEAD · Gurugram · onsite · Posted 50d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
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,anddo not discriminatebased onan individual''s race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived.
We embraceall candidatesthAt willcontribute to the diversification and enrichment of ideas andperspectives 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 insurancecoverage 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 opportunitiesto support continuous growth and upskilling
Employee wellness initiativesand programs focused on physical and mental well-being
Retirement and statutory benefitsin line with India regulations
Inclusive and people-first culture, with a strong focus on collaboration and ownership
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sourced from naukri
Skills
AutomationCudaHpccloud platformsconfiguration managementhigh performance computinggoogle cloud platformamazon web servicescontainer orchestrationInfrastructure AutomationContainercloudArchitectureAi PlatformMicrosoft AzureAnsibleArtificial Intelligence
About AHEAD
AHEAD
IT Services & Consulting
505
employees
2007
19 years old
Chicago, IL
DK
About
AHEAD specializes in developing and managing digital platforms, enhancing operational efficiency through innovative technological solutions.
Industries
IT Services & Consulting
Employee ratings
78 reviews
3.4/ 5
Culture
3.4
Career growth
3.0
Work-life
3.3
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