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Telecommunications Engineer Remote Jobs in Florida

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal ...

Apogee is seeking Systems Engineers to be located at MacDill AFB, FL in support of the Special ... MacDill AFB, FL On-site/Hybrid/Remote: On-Site Travel: 25% Employment Type: FULL_TIME

Fully Remote* *Candidates can be located anywhere in the U.S* Job Summary: The Designer should have ... Modify drawings as directed by Design Coordinator, Engineer, or Designer What We Offer: * A ...

SYSTEMS ENGINEER (NESSUS) - REMOTE ARC Group has an immediate opportunity for a Systems Engineer with strong experience working with vulnerability scanning tools! This position is 100% remote working ...

*This is a remote position and can be located anywhere in the U.S* What You'll Do: The Designer will ... Insert field notes, survey data, design information, vendor information and engineering schematics

*This is a remote position and can be located anywhere in the U.S* What You'll Do: The Designer will ... Gather field notes, survey data, design information, vendor information and engineering schematics

Our corporate culture, engineering talent, customer-centric approach, and focus upon "next ... This role provides first-contact remote technical support for network, server, and end-user systems.

... Remote *** This position is contingent upon contract award *** What You'll Do: In this role, you'll ... Engineer, integrate, and optimize SATCOM and terrestrial transport solutions, including RF ...

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Showing results 21-40

Telecommunications Engineer Remote information

What does a telecommunications engineer remote do?

A remote Telecommunications Engineer designs, implements, and maintains communication systems such as phone networks, internet connectivity, and data transmission infrastructure, all while working from a remote location. They troubleshoot network issues, configure hardware and software, and ensure secure and reliable communication channels. These professionals often collaborate with teams virtually to optimize network performance and support organizational communications. Remote telecommunications engineers may also be responsible for upgrading systems and staying current with technological advancements in the field.

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

To thrive as a Telecommunications Engineer (Remote), you need a solid background in network engineering, telecommunications systems, and protocols, typically supported by a degree in electrical engineering or a related field. Familiarity with technical tools like network analyzers, VoIP systems, and certifications such as CCNA or CCNP are often required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help set candidates apart in a distributed work environment. These skills ensure reliable network design, smooth remote collaboration, and effective troubleshooting, which are vital for maintaining robust communication infrastructures.

What are some common challenges faced by remote telecommunications engineers, and how can they be addressed?

Remote Telecommunications Engineers often encounter challenges such as coordinating with on-site teams, troubleshooting hardware issues from a distance, and ensuring secure access to sensitive network systems. Effective communication through regular virtual meetings and clear documentation helps bridge the gap with in-person colleagues. Utilizing remote monitoring tools and secure VPN connections can also streamline support tasks and maintain data security, allowing engineers to resolve issues efficiently without being physically present.

What is the difference between Telecommunications Engineer Remote vs Network Engineer?

AspectTelecommunications Engineer RemoteNetwork Engineer
Required CredentialsBachelor's in Telecommunications, certifications like CCNA or CompTIA Network+Bachelor's in Computer Science or related, certifications like CCNA, Cisco certifications
Work EnvironmentRemote, often collaborating with telecom providers and clientsRemote or on-site, working with network infrastructure and hardware
Industry UsageTelecom companies, service providers, remote consultingIT firms, corporate networks, data centers

Both roles require networking knowledge and certifications like CCNA. Telecommunications Engineers focus on telecom systems and often work remotely with service providers, while Network Engineers manage broader network infrastructure, sometimes on-site. The choice depends on your industry focus and preferred work environment.

What are the most commonly searched types of Telecommunications Engineer jobs in Florida?

The most popular types of Telecommunications Engineer jobs in Florida are:

What are popular job titles related to Telecommunications Engineer Remote jobs in Florida?

For Telecommunications Engineer Remote jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Telecommunications Engineer Remote jobs in Florida look for?

The top searched job categories for Telecommunications Engineer Remote jobs in Florida are:

What cities in Florida are hiring for Telecommunications Engineer Remote jobs?

Cities in Florida with the most Telecommunications Engineer Remote job openings:

AI/ML Engineer

Vultus Inc

Miami, FL • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago


Job description

AI/ML Engineer
Experience: 4–7 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Engineering

Job Summary

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should have experience building scalable ML models, integrating Large Language Models (LLMs), and working with cloud-based AI services. You will collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy machine learning models.
  • Build and optimize Generative AI and LLM-based applications.
  • Fine-tune foundation models for business-specific use cases.
  • Develop Retrieval-Augmented Generation (RAG) pipelines.
  • Work with vector databases for semantic search applications.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Integrate AI models into production environments using APIs.
  • Monitor model performance and implement continuous improvements.
  • Collaborate with Product Managers, Data Scientists, and Software Engineers.
  • Maintain technical documentation and best practices.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain / LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • OpenAI API / Azure OpenAI
  • Vector Databases (Pinecone, FAISS, ChromaDB)
  • Prompt Engineering
  • TensorFlow / PyTorch
  • FastAPI
  • Docker
  • Git
Secondary Skills
  • SQL
  • Azure / AWS / GCP
  • Kubernetes
  • MLflow
  • Hugging Face Transformers
  • CI/CD Pipelines
  • REST APIs
  • Linux
  • Elasticsearch
  • Data Visualization (Power BI/Tableau)
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4–7 years of experience in Machine Learning or AI development.
  • Strong programming skills in Python.
  • Experience with LLMs, RAG, and vector search implementations.
  • Knowledge of software development best practices and Agile methodologies.
  • Excellent problem-solving and communication skills.
Preferred Qualifications
  • Experience deploying AI applications on Azure or AWS.
  • Familiarity with MLOps tools and model monitoring.
  • Experience building AI-powered chatbots or intelligent assistants.
  • Relevant certifications in AI, Machine Learning, or Cloud technologies.
Salary

USD $120,000 – $150,000 per annum (Based on experience, skills, and location)

Benefits
  • Health, Dental, and Vision Insurance
  • Performance Bonus
  • Flexible Work Hours
  • Remote Work Options
  • Paid Time Off
  • Learning & Certification Reimbursement
  • Employee Wellness Programs
  • Career Growth Opportunities