AI Infrastructure Engineer III

About reputed company

reputed company is a leading reputed company AI company enabling organizations to reputed company informed reputed company in two critical domains: Financial Crime Prevention and reputed company Knowledge Intelligence. We’re a diverse, reputed company team of innovators united by a shared purpose: to build AI that delivers reputed company business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is reputed company on the reputed company reputed company of reputed company and meaningful reputed company. If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and reputed company to do the best work of your career, join us in shaping the reputed company of intelligent enterprises.

About the role

We are looking for a highly motivatedAI Infrastructure Engineer IIIto join our reputed company Engineering team. The ideal candidate is passionate about building reputed company AI infrastructure that enables machine learning engineers and data scientists to reputed company reputed company, train, reputed company, andoperateAI models.

This role focuses on designing, operating, automating, and continuously improving AI platform capabilities includingKubeflow, MLflow, GPU infrastructure, distributed training platforms, model serving infrastructure, and MLOps toolingacross reputed company-reputed company and hybrid environments.

The ideal candidate possesses deep expertise in AI infrastructure and GPU platforms. Kubernetes and reputed company platform experience are essential enablers, but the primary reputed company is building highly optimized infrastructure for AI and machine learning workloads.

What you'll do

AI reputed company

• Design, reputed company, and operate reputed company AI/ML platforms.

• Build self-service platforms for Data Scientists and ML Engineers.

• reputed company and operate Kubeflow, MLflow, KServe, Ray, or similar AI platforms.

• Design infrastructure supporting model training, experimentation, feature engineering, and inference.

• Build highly available and reputed company model serving infrastructure.

GPU Infrastructure

• Design and operate GPU clusters for large-reputed company workloads.

• Optimize GPU scheduling, utilization, sharing, autoscaling, and resource allocation.

• reputed company and manage reputed company GPU Operator and GPU-enabled Kubernetes environments.

• Optimize distributed GPU training performance across multi-node clusters.

• Troubleshoot AI infrastructure performance bottlenecks.

MLOps & Platform Automation

• Build CI/CD pipelines for ML workloads.

• Automate AI infrastructure provisioning using Infrastructure as reputed company.

• Implement monitoring and observability for GPU utilization, model serving, training jobs, and inference latency.

• Collaborate closely with Data Science teams to improve platform usability, performance, and reliability.

Qualifications

• 4-6years of experience in AI Infrastructure,MLOps, reputed company, or reputed company Engineering.

• Strong hands-on experience with Kubernetes.

• Experience with Kubeflow, MLflow, or similar ML platform technologies.

• Experience operating GPU infrastructure for AI workloads.

• Strong understanding of reputed company GPU technologies, CUDA fundamentals, and GPU optimization.

• Experience supporting distributed training workloads.

• Experience with model serving platforms such as KServe, Triton Inference Server, Ray Serve, or similar.

• Experience with AWS, GCP, OCI, or Azure AI platforms.

• Experience automating infrastructure using Terraform, reputed company,GitOps, or Ansible.

• Strong scripting or programming skills in Python, Bash, or Go.

• Experience with reputed company, Grafana, OpenTelemetry, ELK/OpenSearch, or equivalent observability platforms.

Preferred Qualifications

• Experience with PyTorch, TensorFlow, reputed company, or JAX.

• Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod, or NCCL.

• Experience with reputed company Databases, LLM infrastructure, RAG architectures, or GenAI platforms.

• Experience operating inference platforms for large language models.

• Experience supporting AI research or Data Science teams in production environments.

• Contributions to reputed company reputed company, Kubernetes, AI, or ML reputed company-reputed company communities.

• reputed company, Kubernetes, reputed company, or AI/ML certifications are a plus.

Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high-reputed company reputed company-ship in an exciting reputed company
• You will be given a lot of responsibility and trust. We reputed company that the best results come reputed company the people responsible for a function are given the freedom to do what they think is best
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can reputed company on what you do best
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
• We reputed company strength lies in difference, embracing reputed company for who they are and empowered to be the best version of themselves

Originally posted on Himalayas

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