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 recruiters.

Job Overview

Job ID: J37768

Specialized Area: Machine learning

Job Title: Machine Learning Engineer Director

Location: Washington, DC

Duration: 10 Months

Domain Exposure: Manufacturing, Retail, Oil & Gas

Work Authorization: Client to be discussed later

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Working for one of the largest Premier AWS partners in the Washington D.C. area, you would have the opportunity to lead a team of 4 Data Scientists and 3 Data Engineers to develop Software as a Service that will revolutionize the commercial space. My client is working with international entertainment clients to ingest data from their cloud environments to run advanced analytics within AWS. As a Machine Learning Engineer Director, you will also be working alongside the executive board to push the boundary on Artificial Intelligence and AWS.

AUTOMATION 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. AUTOMATION 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 AUTOMATION 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.