Cybersecurity Incident Handler - Remote role (PA preferred but can be anywhere in the Mid-Atlantic) Job Locations US-PA-Exton | US-NY-Hauppauge | US-PA-Wyomissing | US-VA-Fairfax | US-DE | US-NJ-Bridgewater | US-NY-Clifton Park | US-MD ID 2019-1109 Category Information Technology Type
Senior Solutions Consultant in Connecticut Job Category: Pre-Sales Consulting As a key contributor to the Pega Sales Consulting team, you will collaborate with product managers, software developers, analysts, business officers, and other groups to ensure the successful execution of sales
Strong analysis and troubleshooting skills and experience. Self-starter who is excited about learning new technology. What We Offer: AmTrust Financial Services offers a great work environment, competitive compensation package and excellent career advancement opportunities.
Here at Company, we're using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life.
A digital media company is searching for a person to fill their position for a Remote Senior Full Stack PHP and Laravel Developer in Kenilworth. Must be able to: Develop APIs and applications Maintain and extend the existing PHP-based web applications Gather user requirements Qualifications
Engineers on the search team will work on challenges of scale, flexibility, and algorithm design to create novel systems to support a new search experience. One that makes development more powerful and more accessible to the increasing population of people taking part in software development.
Principal Biostatistician/Sr. Biostatistician/Remote TechData Service Company LLC Basking Ridge, NJ, USA Benefits OfferedDental, Medical Employment TypeFull-Time Sr. Biostatistician/Principal Biostatistician (2 positions can be remote) Responsibilities At project level, ensures the
Developing libraries and algorithms that improve the RAPIDS ecosystem. Developing and training new deep learning architectures for sparse, graph and tabular data problems in a variety of problem domains, while demonstrating that your algorithms perform better than traditional, non-DL based methods.