ML Engineer – Computer Vision

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Entefy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $5M Funding Round on 2021-08

Artificial Intelligence • SaaS • Enterprise

Entefy is an advanced AI and automation company specializing in multisensory AI technology designed to empower intelligent enterprises. With its comprehensive platform and innovative products such as the Mimi AI Engine, Entefy provides solutions in various fields including digital supply chain management, credit and risk decisioning, and crypto market intelligence. Entefy's technology is aimed at solving high-value business problems through AI-driven analytics and automation, enhancing productivity and efficiency in diverse industries. It boasts a vast intellectual property portfolio and significant investment in R&D to advance its core technologies, which cater to a wide range of global enterprises.

📋 Description

• Utilize the latest techniques in artificial intelligence and computer vision • Work on confidential projects that will impact Entefy’s suite of products • Engage your deep understanding of algorithms to build never-before-seen machine intelligence

🎯 Requirements

• Solid fundamentals in mathematics, statistics, and machine learning theory • Minimum 3 years of commercial experience (or equivalent) in computer vision • Demonstrable proficiency in at least one applicable programming language such as Python, C, C++, Java • Proficient knowledge of and experience with image classification, segmentation, or captioning • Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, SimpleCV, etc. • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. • Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc. • Strong written and verbal communication skills • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics • Experience with parallel computing technologies such as OpenMP, CUDA, OpenACC, MPI • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc. • Demonstrable proficiency in more than one applicable programming languages is a plus