Job Details

• W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Job 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.

1. 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 environment
   • Deep proficiency in at least one OO statically typed language (C, C++, Go) and Python
   • 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:
   • 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 environment
   • Proficiency in Python, Scala, or C++
   • 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

Equal 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.