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.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.

Job Overview

Specialized Area: Machine learning

Job Title: Machine Learning Engineer

Location: To Be Discussed Later

Duration: 6 Months

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

Responsibilities

1. Changing the technical direction of a team through persuasion, leadership, and force of will onto a better path.
2. Leading a community of interest in a technology or domain that is not a standard part of the enterprise, but whose adoption would significantly impact the company for the better.
3. Demonstrating the ability to decompose problems to their root causes and then follow an engineered approach to finding appropriate solutions.
4. Understand machine learning requirements from product, engineering, and data science to create machine learning technical specifications.
5. Build platform for machine learning model training, batch evaluation, automated re-training, continuous monitoring, and deployment in a micro-service architecture.
6. Interact with data, compute, and serving infrastructure for shipping machine learning models.
7. Build visibility into machine learning and system performance and optimize if necessary.

QUANTUM 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. QUANTUM 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.