AI/ML Engineer - Edge AI & Computer Vision

Mployee.me; Pune District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Mployee.me in Pune, India seeks an AI/ML Engineer with expertise in Machine Learning, Computer Vision, and Edge AI to design, develop, and deploy intelligent AI solutions across cloud and edge platforms. The role requires 2–5 years of experience and hands-on work with Python, C++, PyTorch, TensorFlow, and embedded Linux.

You will optimize models for edge devices, implement REST APIs, and collaborate with cross-functional teams to deliver cutting-edge AI products.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Electronics & Communication, Embedded Systems, or related field.
• 2–5 years of experience in AI/ML, CV, edge deployment.
• Strong programming skills in Python and C++.

Responsibilities

• Design, develop, and deploy AI/ML models for real-world applications.
• Build Computer Vision solutions for image and video analytics.
• Optimize AI models for edge devices and embedded platforms.
• Integrate AI solutions with enterprise applications through APIs.
• Collaborate with cross-functional teams to deliver innovative AI products.

Skills

Python

C++

PyTorch

TensorFlow

Computer Vision

Image Processing

Edge AI

NPUs

AI Chips

ARM Processors

ONNX

TensorFlow Lite

Model Optimization

Quantization

Pruning

Embedded Linux

Docker

Generative AI

LLMs

REST API Development

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Electronics & Communication, Embedded Systems, or related field

Tools

Docker

ONNX

TensorFlow Lite

Job description

We are seeking an AI/ML Engineer with expertise in Machine Learning, Computer Vision, and Edge AI to develop, optimize, and deploy intelligent AI solutions across cloud and edge platforms.

Experience - 2-5 Years

Key Skills:

• Python, C++, PyTorch, TensorFlow
• Computer Vision & Image Processing
• Edge AI, NPUs, AI Chips, ARM Processors
• ONNX, TensorFlow Lite (TFLite)
• Model Optimization, Quantization & Pruning
• Embedded Linux, Docker
• Generative AI & LLMs (Preferred)
• REST API Development

Responsibilities:

• Design, develop, and deploy AI/ML models for real-world applications.
• Build Computer Vision solutions for image and video analytics.
• Optimize AI models for edge devices and embedded platforms.
• Integrate AI solutions with enterprise applications through APIs.
• Collaborate with cross-functional teams to deliver innovative AI products.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Electronics & Communication, Embedded Systems, or related field.