Solutions Architect

Job Summary :

We are seeking experienced Platform Engineers with expertise in MLOps and handling

distributed systems, particularly Kubernetes, along with a strong background in managing

Multi-GPU, Multi-Node Deep Learning job / inference scheduling. Proficiency in Linux (Ubuntu)

systems, the ability to create intricate shell scripts, good proficiency in working with

configuration management tools and sufficient understanding of deep learning workflow.

Required Skills & Qualifications :

• ? Experience :
• ? 3+ years of experience in platform engineering, DevOps, or systems

engineering, with a strong focus on machine learning and AI workloads.

learning infrastructure.

large-scale models, and deploying AI systems in cloud environments.

systems, and optimization techniques for AI workloads.

(Python, Bash, or similar).

Kubernetes, Helm).

similar infrastructure-as-code solutions, and exposure to automation of CICD

pipelines using Jenkins / Gitlab / Github, etc.

deep learning model deployment pipelines. Exposure to vLLM or NVIDIA

software stack for data & model management is preferred.

memory management, parallel processing, and hardware acceleration.

challenges.

and non-technical teams.

Good to Have Skills :

generative AI models or large-scale NLP tasks.

data pipeline orchestration tools (e.g., AWS Glue, Apache Airflow, etc).

TorchServe, vLLM, Triton Inference Server.

infrastructure.