Job Description

Job Description

Title: Machine Learning Engineer (Jr, Sr) Type: Contract Ideal Candidate Description:You get excited reading about the latest advances in AI. You are intellectually curious and always pushing yourself to learn. Novel challenges drive you. Ambiguity is par for the course. You take pride in finding the simplest solution to complex problems. Doing the same thing every day would drive you crazy. You might not always know the answer off the top of your head, but you work hard to find the right solutions. 1. Senior Machine Learning Engineer Qualifications: 6+ years of experience as senior developer/technical architect for high-tech products or services and youhave 2+ years of hands-on experience delivering products or solutions that utilized Machine learning, NaturalLanguage processing or other forms of AI solutions (Computer Vision/ Mathematical Optimization)  OR PhD in Computer Science with a strong track record of publications in the domains of Machine Learning,Computer Vision, Robotics, Reinforcement Learning, or NLP. • Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning,Supervised/Unsupervised, Graphical Models) • Expertise in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN,Transformer, and/or Transfer Learning in a production environment • You have deep proficiency in at least one OO statically typed language (C, C++, Go) and Python • You preferably have proficiency and experience in NLP or Computer Vision
• Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position 2. Junior Machine Learning Engineer Qualifications: • You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theanoand have solvedseveral real-life problems using these 2+ years of experience as a developer for high-tech products or services and you have 2+ years of hands-onexperience delivering products or solutions that utilized Machine learning, Natural Language processing, orother forms of AI solutions (Computer Vision/ Mathematical Optimization)  OR an MS in Computer Science with some experience with Machine Learning. • Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning,Supervised/Unsupervised, Graphical Models) • Experience in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN,Transformer, and/or Transfer Learning in a production environment • Proficiency in Python, Scala, or C++
• You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano
• Familiarity with some key concepts in Computer Vision
• Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position

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