Concord, NC · On-site +1
Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to ... Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or ...
Concord, NC · On-site +1
Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to ... Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or ...
$14.26 - $16.15
5% of jobs
$16.15 - $18.03
10% of jobs
$19.82 is the 25th percentile. Wages below this are outliers.
$18.03 - $19.92
11% of jobs
$19.92 - $21.80
2% of jobs
$21.80 - $23.68
17% of jobs
The median wage is $25.57 / hr.
$23.68 - $25.57
5% of jobs
$25.57 - $27.45
10% of jobs
$27.45 - $29.34
11% of jobs
$30.11 is the 75th percentile. Wages above this are outliers.
$29.34 - $31.22
12% of jobs
$31.22 - $33.11
11% of jobs
$33.11 - $34.99
7% of jobs
$14
$25
$34
| Aspect | Remote Edge Computing | Remote Cloud Engineer |
|---|---|---|
| Required Credentials | Networking, IoT, hardware knowledge, certifications in edge computing or networking | Cloud platforms, scripting, certifications like AWS, Azure, GCP |
| Work Environment | Distributed hardware, local data processing sites, on-site or remote hardware management | Data centers, cloud platforms, virtual environments |
| Employer & Industry Usage | Tech companies, IoT providers, manufacturing, retail | Tech firms, SaaS providers, enterprise IT, startups |
Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.
Other
Medical, Dental, Vision, Retirement
Re-posted 18 days ago
Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.
Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.
Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.
Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.
Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package
Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.
Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).