W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruitersJob Overview
Job ID: J37725
Specialized Area: Machine Learning
Job Title: Machine Learning Engineer (Jr, Sr)
Location: Irving, TX
Duration: 6 Months
Domain Exposure: Government, Education, IT/Software
Work Authorization: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
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 senior developer/technical architect for high-tech products or services and you have 2+ years of hands-on experience delivering products or solutions that utilized Machine Learning, Natural Language 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 environmentDeep proficiency in at least one OO statically typed language (C, C++, Go) and PythonPreferably have proficiency and experience in NLP or Computer VisionKnowledge acquired earning a degree in Computer Science or Math would be of great value in this positionJunior Machine Learning Engineer Qualifications:Very fluent in one or more ML tools like TensorFlow, PyTorch, Caffe, and/or Theano and have solved several 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-on experience delivering products or solutions that utilized Machine Learning, Natural Language Processing, or other 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 environmentProficiency in Python, Scala, or C++Very fluent in one or more ML tools like TensorFlow, PyTorch, Caffe, and/or TheanoFamiliarity with some key concepts in Computer VisionKnowledge acquired earning a degree in Computer Science or Math would be of great value in this positionEqual Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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