Implementation Engineer - AI

October 10

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Value-added distribution • Global supply chain management • Marketing and business development support services • Emerging technology solutions • Design engineering

10,000+ employees

Description

• Arrow is seeking an AI Implementation Engineer to provide technical direction and business guidance to our channel partner community in North America. • You will have responsibility for our AI Center of Excellence, which is a centralized hub of AI-related activities in our Arrow Solutions Lab. • This role will bring together people, processes, and technology to promote AI adoption…. sharing best practices, training and enablement, and driving innovation. • The ideal candidate will play a pivotal role in the design, development, build and promotion of AI solutions that address complex business challenges with our partners and their end customers. • We are looking for a technically proficient and detail-oriented individual with a strong background in AI technologies, software development and build technologies. • The ideal candidate should have hands-on experience in implementing IBM AI solutions , as well as a solid understanding of machine learning techniques and algorithms.

Requirements

• Real-world AI/ML project end-to-end experiences, including design, build and validate successful AI/ML solutions; ideally with IBM WatsonX. • Working experience with data center technologies like Vmware, Hyper-V, OpenShift, storage, networking, Microsoft Windows, Active Directory, and Linux Operating Systems. • Proficiency in Python, Ansible , MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, or other platforms and programming languages. • Proficiency in common AI/ML frameworks, etc., Scikit-learn, Tensorflow, Pytorch, Hugging Face. • Knowledge and experience with application of a variety of machine learning techniques (clustering, decision tree, neural network, etc.). • Experience in implementing and evaluating AI models • Knowledge of data preprocessing and feature engineering • Experience with data visualization and analysis tools • Excellent problem-solving and analytical skills- AI experience with Nvidia, IBM, Microsoft, other AI vendors • Experience with big data technologies is a plus • Understanding of cloud platforms, such as AWS or Azure, is a plus • Excellent written and verbal communication skills for coordinating across teams and with stakeholders. • Highly professional, with the ability to deliver quality work on tight schedules. • Self-starter who is motivated, proactive, and able to work independently in a loosely structured organization.

Benefits

• Medical, Dental, Vision Insurance • 401k, With Matching Contributions • Generous Paid Time Off • Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options • Growth Opportunities • Short-Term/Long-Term Disability Insurance • And more!