Machine Learning Engineer @ Apex Systems | Jobright.ai
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Apex Systems · 3 days ago

Machine Learning Engineer

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Insider Connection @Apex Systems

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Develop and program integrated software algorithms to structure, analyze, and leverage data in product and systems applications.
Develop and communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
Use machine language and statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management, and accuracy.
Translate algorithms and technical specifications into code using current programming languages and technologies.
Complete programming, implement efficiencies, perform testing and debugging, and document procedures for installation and maintenance.
Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations.
Adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other interactive products.
Work with large-scale computing frameworks, data analysis systems, and modeling environments.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSparkML AlgorithmsML OpsEngineering BackgroundGenAI toolsMastersAssociates degree

Required

Python
Spark
ML Algorithms/ML Ops
Engineering background

Preferred

Exposure to GenAI tools and capabilities
PhD or Law + 3 yrs
Masters + 4 yrs
Associates degree + 6 yrs
High School + 7 yrs

Company

Apex Systems

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Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce.

H1B Sponsorship

Apex Systems has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (43)
2022 (47)
2021 (42)
2020 (85)

Funding

Current Stage
Late Stage

Leadership Team

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Roger Wahman
Chief Technology Officer - SVP
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Andrea Schiola
Global Head of Technology Partnerships, SVP, Principal
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Company data provided by crunchbase
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