AI/ML Engineer

🔥 1 minute ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Arrow Electronics

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1935

🔧 Hardware

🤝 B2B

Hardware • B2B

Arrow Electronics is a global technology distributor and solutions provider that supplies electronic components and enterprise computing products to manufacturers and businesses. It distributes semiconductors, connectors, passives and other electronic hardware, and provides design-chain and supply-chain services, logistics and value-added solutions (including IoT enablement and cloud/enterprise solutions) to OEMs, contract manufacturers and enterprises. Arrow operates primarily in business-to-business channels, focusing on component distribution and technical/enterprise services for electronics and industrial customers worldwide.

📋 Description

• Understanding the problem statement, data handling/triage. • Selecting and improving neural network models using deep learning frameworks. • Solving business problems with AI/ML/DL models.

🎯 Requirements

• 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. • Excellent hands-on Coding in Python (mandatory), C/C++ or Java. • Experience in developing AI/ML/DL models by using transfer learning or from scratch. • Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. • Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). • Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. • Developed/optimized various models in computing domain (Video, Statistics , Audio and others). • Demonstrated experience in completing data science projects with or without minimal supervision. • Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. • Proven record of migrating Al/ML/DL models/algorithms to low level platforms. • Familiar with optimizing code for minimal usage of CPU and memory.