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Machine Learning Engineer
1 month ago
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 OverviewJob ID: J36993
Specialized Area: Machine learning
Job Title: Machine Learning Engineer
Location: Dearborn, MI
Duration: 10 Months
Domain Exposure: Manufacturing, Banking & Finance, Insurance, Retail, Government, Telecom, Aerospace/ Airlines, Oil & Gas, IT/Software
Work Authorization: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities- Work closely with client Partners to understand their product vision, their technology gaps and break it down into work-stream deliverables.
- Lead work-streams such as ML Demand Management/ ML Model Deployment / ML Model Management / to evaluate, understand and come up with innovative solutions.
- Work hands-on with the team and other stakeholders to deliver solutions that meet our customer’s requirements and needs.
- Grow technical capabilities / expertise and provide guidance to other members on the team.
- A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
- 5+ years of work experience in either of the skill sets.
- Ability to lead work stream, gather requirements, understand the customer, come up with solutions.
- Basic understanding of: Machine Learning / Deep Learning Models / Python / Hadoop.
- ML Model Deployment / ML Model Management for production environments/ Demand Management for AI projects.
- Basic understanding of Machine Learning use cases / Machine Learning, Deep Learning infrastructure/hardware/tools.
- Strong desire to learn new skills and apply to solve business problems/opportunities.
ARTIFICIAL INTELLIGENCE 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.
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