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Remote Neural Network Engineer Jobs in Kansas (NOW HIRING)

Scopely

This is a remote opportunity for individuals in Canada or the United States. As a Director, Cloud ... Network architecture and environment isolation * Own the mandate to enforce policies, including the ...

New

Banyan Software

CTO / Engineering Leadership -- Vertical SaaS (Talent Community) Remote | United States Let's Start ... We provide capital, shared services, and a network of operating partners. We do not tell you how to ...

Archera

Archera works closely with AWS, Microsoft Azure, and Google Cloud, and a broad network of software ... This is a fully remote role based in the United States, with East Coast candidates preferred. Key ...

Overstory

Build and maintain strong candidate pipelines through creative sourcing, networking, and ... You have worked in international, remote-first environments and have experience hiring in multiple ...

Deloitte

Epic Research & Genomics Analyst

Wichita, KS · On-site +1

... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ...

Archera

Archera works closely with Amazon, Microsoft, Google, and a broad network of software and services ... Cell phone stipend Location Remote - USA/Canada

Auvik Networks

Proven success meeting/exceeding targets in SaaS based sales or sales engineering. * A people ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

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All JobsNeural Network Engineer JobsRemote Neural Network Engineer JobsRemote Neural Network Engineer Jobs in Kansas

Remote Neural Network Engineer information

What is a remote neural network engineer?

A Remote Neural Network Engineer is a specialized software engineer who designs, develops, and maintains neural network models while working from a remote location. They use deep learning frameworks such as TensorFlow or PyTorch to build algorithms that mimic the human brain for tasks like image recognition, natural language processing, and predictive analytics. These engineers collaborate with teams virtually and leverage cloud computing resources to train and deploy models. The role requires strong programming, mathematical, and analytical skills, as well as experience working in distributed team environments.

What is the difference between Remote Neural Network Engineer vs Data Scientist?

AspectRemote Neural Network EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with neural networks and deep learning frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentRemote, tech companies, AI research labsRemote or on-site, diverse industries including finance, healthcare, tech
Industry UsagePrimarily in AI, machine learning, and deep learning projectsData analysis, predictive modeling, business insights

While both roles involve working with data and machine learning, a Remote Neural Network Engineer specializes in designing and implementing neural network models, often requiring deep learning expertise. A Data Scientist focuses on analyzing data to extract insights, using a broader set of tools including statistical methods and machine learning. The roles overlap in skills but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote neural network engineer?

To thrive as a Remote Neural Network Engineer, you need a strong background in computer science, mathematics, and deep learning principles, often supported by a relevant degree and prior experience in AI or machine learning roles. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms are essential, and certifications in machine learning can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are key soft skills for collaboration and independent work. These skills and qualities ensure the engineer can design, implement, and optimize neural network solutions efficiently while contributing effectively to distributed teams.

How does a remote neural network engineer typically collaborate with cross-functional teams when working from a distance?

As a Remote Neural Network Engineer, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is primarily facilitated through virtual communication platforms and project management tools. Regular video meetings, code reviews, and shared documentation are essential to ensure alignment on project goals and progress. Clear communication and proactive sharing of updates are crucial to overcoming the lack of in-person interaction. Additionally, remote engineers often use collaborative coding environments and version control systems to streamline joint development efforts and maintain code quality.
What are popular job titles related to Remote Neural Network Engineer jobs in Kansas? For Remote Neural Network Engineer jobs in Kansas, the most frequently searched job titles are:
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Remote Neural Network Engineer jobs near you

Offensive Security Consultant - US

Worknest Secure

Independence, KS • On-site, Remote

Full-time

Medical, Retirement

Re-posted 2 days ago

Job description

WorkNest Cyber Inc, part of the WorkNest group, is rapidly expanding in the US and helps organisations strengthen their security posture through world-class expertise. To support this growth, we are seeking Offensive Security Consultants to join our business.
As a Offensive Security Consultant, with a focus on Infrastructure and Web App testing, you will perform formal and comprehensive penetration testing assessments, producing full written reports to appropriate standards and within agreed deadlines. In addition, you will support with client pre-engagement activities, including scoping and proposal drafting, as well as researching infrastructure and application vulnerabilities, following responsible disclosure, and sharing such findings within the team.
Responsibilities:
  • Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
  • Provide well-written, concise, technical and non-technical reports in English
  • Perform vulnerability assessments and provide findings with remediation actions
  • Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
  • Manage and deliver penetration testing project activities within strict deadlines
  • Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
  • Any other appropriate job duties in line with the associated skill and experience of the post holder

Skills and experience required:
  • Proven industry experience in application and infrastructure penetration testing
  • Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
  • Ability in preparing and launching social engineering campaigns (both phishing and vishing)
  • Strong understanding of OWASP, PTES and other penetration testing methodologies
  • Knowledge of how modern web apps are designed, developed and deployed across different platforms
  • Ability to program or script in your preferred language
  • Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
  • Relevant security qualifications (such as OSCP, CEH, GPEN)
  • Good knowledge and understanding of network and OS principles
  • Good knowledge of various operating systems
  • Good knowledge of virtualisation

Nice to have:
  • Knowledge of assessing cloud and hybrid environments (AWS and Azure)
  • Knowledge of assessing mobile applications (iOS/Android)
  • Knowledge of assessing hardware and embedded IoT devices

Personal Attributes:
  • Excellent spoken and written communication skills with strong attention-to-detail and accuracy
  • A passion for security and networks
  • Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
  • Self-motivation with a commitment to continued development
  • Ability to work independently and as part of a team
  • Influencing and negotiation skills with the ability to build relationships at all levels
  • Willingness to learn

Benefits:
  • 25 days annual holiday plus 8 paid public holidays
  • An additional day's annual holiday for your birthday
  • Pension/401k contribution
  • Subsidised gym membership
  • Frequent team events
  • Private Healthcare (individual cover only)
  • Learning Allowance Benefit
  • Flexible working policy

This is an exciting opportunity to join a fast-growing team at WorkNest Cyber Inc and play a key role in delivering high-quality offensive security services across a diverse range of client environments.
If you are passionate about offensive security, enjoy solving complex technical challenges, and are looking to further develop your career in a collaborative and forward-thinking environment, we would love to hear from you.
Department Penetration Testing Locations Remote - USA Remote status Fully Remote

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