Digital Technologies, LLC
Machine Learning Engineer (2 Openings)
Digital Technologies, LLC - Granite Heights, Wisconsin, United States
Work at Digital Technologies, LLC
Overview
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Overview
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.
Senior Machine Learning Engineer Qualifications:
6+ years of experience as a senior developer/technical architect for high-tech products or services and 2+ years of hands-on experience delivering products or solutions utilizing Machine Learning, Natural Language Processing, or other AI solutions (Computer Vision, Mathematical Optimization).
PhD in Computer Science with a strong publication record in Machine Learning, Computer Vision, Robotics, Reinforcement Learning, or NLP.
Mathematical understanding of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models).
Expertise in Deep Learning architectures such as Residual Networks, RNN/CNN, Transformers, and Transfer Learning in a production environment.
Proficiency in an object-oriented statically typed language (C, C++, Go) and Python.
Preferably experience in NLP or Computer Vision.
Degree in Computer Science or Math is valuable.
Junior Machine Learning Engineer Qualifications:
Fluent in one or more ML tools like TensorFlow, PyTorch, Caffe, or Theano, with experience solving real-world problems.
2+ years of experience as a developer for high-tech products or services in ML, NLP, or AI solutions, or an MS in Computer Science with some ML experience.
Mathematical understanding of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models).
Experience with Deep Learning architectures such as Residual Networks, RNN/CNN, Transformers, and Transfer Learning in a production environment.
Proficiency in Python, Scala, or C++.
Familiarity with key concepts in Computer Vision.
Degree in Computer Science or Math is valuable.
Note:
This job posting is active and not expired.
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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.
Senior Machine Learning Engineer Qualifications:
6+ years of experience as a senior developer/technical architect for high-tech products or services and 2+ years of hands-on experience delivering products or solutions utilizing Machine Learning, Natural Language Processing, or other AI solutions (Computer Vision, Mathematical Optimization).
PhD in Computer Science with a strong publication record in Machine Learning, Computer Vision, Robotics, Reinforcement Learning, or NLP.
Mathematical understanding of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models).
Expertise in Deep Learning architectures such as Residual Networks, RNN/CNN, Transformers, and Transfer Learning in a production environment.
Proficiency in an object-oriented statically typed language (C, C++, Go) and Python.
Preferably experience in NLP or Computer Vision.
Degree in Computer Science or Math is valuable.
Junior Machine Learning Engineer Qualifications:
Fluent in one or more ML tools like TensorFlow, PyTorch, Caffe, or Theano, with experience solving real-world problems.
2+ years of experience as a developer for high-tech products or services in ML, NLP, or AI solutions, or an MS in Computer Science with some ML experience.
Mathematical understanding of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models).
Experience with Deep Learning architectures such as Residual Networks, RNN/CNN, Transformers, and Transfer Learning in a production environment.
Proficiency in Python, Scala, or C++.
Familiarity with key concepts in Computer Vision.
Degree in Computer Science or Math is valuable.
Note:
This job posting is active and not expired.
#J-18808-Ljbffr