Artificial Intelligence Architect

The Glove Company; Bengaluru; Híbrido; INR 350.000 - 900.000; Jornada completa

Descripción de la vacante

The Glove Company in Bengaluru is seeking an AI Architect (Senior Associate) to join our cutting-edge team. You will design ML pipelines, APIs for large-scale inferencing, and work on LLM serving and optimization.

Candidates should have deep expertise in GPUs, distributed training, and production-grade LLM serving, with strong skills in Kubernetes, Docker, and modern ML platforms.

Formación

• Experience with Gen AI, LLMs, and Hugging Face.
• Proficient in Python and ML frameworks (PyTorch/TensorFlow/Keras).
• Experience with Langchain and Langgraph.
• Docker and Kubernetes expertise.
• Ability to design scalable ML pipelines and APIs for model inference.

Responsabilidades

• Design RAG/LLM pipelines for experiment and model management.
• Design APIs for large-scale model inferencing.
• Work with MLflow, SageMaker, Vertex AI, and Azure AI.
• Deep knowledge of GPU architectures, distributed training, and serving of LLMs.
• LLMOps and DevOps proficiency with Kubernetes, Docker, and orchestration frameworks.

Conocimientos

Gen AI

LLM

Hugging Face

Python

PyTorch

TensorFlow

Keras

Langchain

Langgraph

Docker

Kubernetes

Herramientas

MLflow

SageMaker

Vertex AI

Azure AI

Descripción del empleo

Experience Required

9-14

AI Architect Bangalore

Job Summary

We are seeking highly skilled candidates to join our team as AI Engineer (Senior Associate). The role involves designing ML pipelines, APIs for large-scale model inferencing, and working on cutting-edge LLM serving and optimization.

Responsibilities

• Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM Serving & GPU Architecture: Deep knowledge of GPU architectures, distributed training, and serving of large language models.
• Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models.
• DevOps & LLMOps Proficiency: Expertise in Kubernetes, Docker, container orchestration, and LLM orchestration frameworks (Flowise, Langflow, Langgraph).

Mandatory Skill Sets

• Gen AI, LLM, Hugging Face
• Python, PyTorch/TensorFlow/Keras
• Langchain, Langgraph
• Docker, Kubernetes

Additional Skills

• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery
• Cloud Knowledge: AWS, Azure, GCP
• DevOps Tools: FluentD, Kibana, Grafana, Prometheus
• Proficient in Python, SQL, JavaScript