AI/ML Engineer-1003

Sunrise Biztech Systems; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Sunrise Biztech Systems in Bengaluru, India is seeking an AI Engineer to optimize and deploy ML models across CPU, GPU, and NPU platforms for scalable, production-ready AI systems.

The role focuses on reducing latency and improving throughput for domains like robotics, healthcare, and automotive, with a preference for 7–10 years of hands-on experience in deep learning and model optimization.

Qualifications

• Experience in optimizing and deploying ML models on CPU, GPU and NPU hardware.
• Strong background in deep learning models, including transformers and CNNs.
• Proficient in Python and C++ with ability to port models across frameworks.

Responsibilities

• Optimize diverse models (LLMs, diffusion, vision, multi-modal, speech).
• Port models across frameworks (e.g., PyTorch, ONNX runtimes).
• Deploy on hardware accelerators (GPU/NPU) and optimize performance.

Skills

PyTorch

ONNX

Python

C++

CUDA/ROCm

Transformers

Job description

Position: AI Engineer Model Optimization & Acceleration

Experience: 7-10Years

Location: Bangalore

Full Time Employment/contractual

Role & responsibilities

Job Title: AI Engineer Model Optimization & Acceleration

Location: Bangalore, India

Role Overview

Seeking an AI Engineer to optimize and deploy ML models across heterogeneous platforms (CPU, GPU, NPU).
Work on scalable, production-ready AI systems across domains like robotics, healthcare, and automotive.

Key Responsibilities

• Optimize diverse models: generative (LLMs, diffusion), vision (classification, detection, segmentation), multi-modal, and speech
• Port models across frameworks (e.g., PyTorch ONNX runtimes)
• Deploy on hardware accelerators (GPU/NPU) and optimize performance
• Improve inference latency, throughput, and memory (batching, caching, parallelism, fusion)
• Apply quantization and model compression (FP32 lower precision)
• Profile and debug system and model performance

Required Skills

• Strong in PyTorch (or similar), ONNX (or equivalent)
• Proficient in Python and C++
• Experience with GPU/hardware acceleration (CUDA/ROCm or similar)
• Solid understanding of deep learning models (transformers, CNNs)
• Knowledge of optimization, quantization, and performance tuning

Good to Have

• Edge AI or embedded deployment
• Generative or multi-modal AI systems
• Distributed inference or streaming pipelines
  

Preferred candidate profile

EXP 7-10YEARS