Machine Learning Engineer
2 days ago
- 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: J36993
Specialized Area: Machine learning
Job Title: Machine Learning Engineer
Location: Pennsylvania, PA
Duration: 6 Months
Domain Exposure: Pharmaceuticals, Manufacturing, Education
Work Authorization: Client: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities:
- A machine learning background, with hands-on experience in building targeted algorithms
- Experience working with one or more deep learning frameworks such as TensorFlow, Caffe, MXNet, Keras, PyTorch
- Strong Python, R, and C/C++ development skills along with compute platform knowledge, i.e. Azure
- Understanding of machine learning, big data concepts, and AI techniques and best practices
- The ability to manage cross-functional teams in a matrix environment in completion of pilots or technical proof of concepts
- The aptitude to stay abreast of current and emerging technologies in support of new concept development.
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.
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