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Remote Neural Network Engineer Jobs in New Mexico

Varsity Tutors

Machine Learning Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Cardinal Health

Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, or a related field ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

Ingrammicro

$102K - $173K/yr

Design and validate AWS solutions across infrastructure, networking, security, IAM, resilience, and ... Remote The typical base pay range for this role across the U.S. is USD $102,000.00 - $173,400.00 ...

Medable, Inc.

Network controls (private connectivity where feasible, egress restrictions, proxying, allowlists). * Usage monitoring, abuse prevention, and security reviews for AI-driven features/workflows.

RE/SPEC Inc.

AIX Developer

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Some experience with networking and SAN * AIX Expertise: Minimum of 3 years of hands-on experience ...

RE/SPEC Inc.

AIX Developer

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Some experience with networking and SAN * AIX Expertise: Minimum of 3 years of hands-on experience ...

Workiva

$40/hr

... networking skills (written, verbal, listening) * Basic competency in one or more programming ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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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 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 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 popular job titles related to Remote Neural Network Engineer jobs in New Mexico?

For Remote Neural Network Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Neural Network Engineer jobs in New Mexico look for?

The top searched job categories for Remote Neural Network Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Remote Neural Network Engineer jobs?

Cities in New Mexico with the most Remote Neural Network Engineer job openings:

Remote Neural Network Engineer jobs near you

Network Engineer IV

NuAxis Innovations

Albuquerque, NM • Remote

Full-time

Posted 23 days ago

Job description

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.

Technology is our Passion. People are our Purpose. 

We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Network Engineer IV for a Full-Time position.

Job Summary:                                                                                    

The Network Engineer IV provides advanced engineering, design, and operational support for enterprise WAN/LAN environments, firewalls, and secure connectivity across multiple organizational locations. This role is responsible for implementing, maintaining, and securing complex network infrastructures while supporting enterprise deployments, change management, and federal IT environments.

Education

Bachelor's degree in computer science, Information Technology, or a related field, or equivalent professional experience.

Certifications

  • Associate-level network certification from a major vendor (e.g., Cisco Certified Network Associate (CCNA)).

  • Higher-level or security-focused certifications preferred.

Experience Required

  • 4+ years of professional experience in network engineering and enterprise networking environments.

  • Minimum 3 years of hands-on experience with firewall and network security solutions, including:

  • Next-Generation Firewalls (NGFW)

  • IDS/IPS

  • Content filtering

  • RADIUS / TACACS

  • 802.1X authentication

  • VPN solutions

  • Minimum 3 years of experience designing, implementing, and supporting Cisco-based networking environments.

  • Experience with Cisco, Palo Alto, and/or Fortinet network and security platforms.

  • Federal networking experience preferred.

Core Responsibilities

  • Provide advanced network engineering support for WAN, LAN, and secure connectivity across enterprise and geographically distributed locations.

  • Configure, maintain, and troubleshoot:

  • Routers and switches (Cisco IOS and NX-OS)

  • Firewalls and security appliances

  • Wireless controllers and access points

  • Design, implement, and support:

  • Enterprise routing protocols

  • VLANs, QoS policies, priority queuing

  • Network segmentation and security controls

  • Support and maintain:

  • VPNs, MPLS, and remote access solutions

  • Secure connectivity for remote and enterprise users

  • Perform network monitoring, performance tuning, and proactive troubleshooting using tools such as NetFlow and other monitoring solutions.

  • Support infrastructure design, configuration, testing, and validation activities.

  • Participate in and support change management, documentation, and operational procedures.

  • Contribute to project planning, including defining technical goals, timelines, and required resources.

  • Coordinate with other engineers to support enterprise network deployments.

  • Develop and maintain procedures, work instructions, and technical documentation to ensure consistency and knowledge sharing.

Professional Skills

  • Strong ability to prioritize and multitask across multiple projects and operational demands.

  • Excellent written, verbal, presentation, and interpersonal communication skills.

  • Proven ability to work independently and collaboratively in a team environment.

  • Demonstrated willingness to learn new technologies and stay current with industry trends and best practices.

Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!

Our Profile: 

We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More.

NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

#NAI #DICE

Employment Type: Full time

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