Jobs in the United States

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AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Annapolis, MD
- $121,400 to $218,600 USD / year
As a Machine Learning Senior Software Engineer, you will be responsible for:
Added just now
Mechanical Engineer, Data Center Operations Engineering
Meta
Annapolis, MD
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added just now
Network Operations Engineer
Meta
Annapolis, MD
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added just now
Staff Software Architect
CVS Health
Annapolis, MD
Master's degree in Computer Science, Machine Learning, or equiva
Added just now
EG
Senior AI Engineer
Eliassen Group
Aberdeen Proving Ground, MD
- $80 to $90 USD / hour
Familiarity with Azure AI and Analytics services such as Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Microsoft Fabric, and Synapse Analytics preferred.
Added just now
EG
Databricks Data Engineer
Eliassen Group
Annapolis, MD
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 14 mins ago
Senior Staff AI / ML Solutions Engineer
ThermoFisher Scientific
Morrisville, NC
Design, build, and integrate AI applications using generative AI, machine learning, enterprise data, and workflow automation as appropriate to the business problem.
Added 14 mins ago
Senior Cyber Platform Engineer
MetLife
Cary, NC
Experience applying AI, machine learning, or AI-assisted development and automation capabilities to security engineering, platform operations, or cybersecurity workflows.
Added 15 mins ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale - owning…
Added 15 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Raleigh, NC
- $121,400 to $218,600 USD / year
As a Machine Learning Senior Software Engineer, you will be responsible for:
Added 15 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Raleigh, NC
Hands-on experience applying AI or machine learning technologies (including LLMs and generative AI) to real-world business or security use cases.
Added 15 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Raleigh, NC
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 15 mins ago
Network Operations Engineer
Meta
Raleigh, NC
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 15 mins ago
Staff Software Architect
CVS Health
Raleigh, NC
Master's degree in Computer Science, Machine Learning, or equiva
Added 19 mins ago
Junior Machine Learning Engineer (Python & PyTorch)
Hays
Atlanta, GA
Our client is seeking a Junior Machine Learning Engineer to support the development and deployment of machine learning models that advance the company's AI-driven initiatives. This is an…
Added 50 mins ago
Staff Software Architect
CVS Health
Concord, NH
Master's degree in Computer Science, Machine Learning, or equiva
Added 1 hour ago
Customer Engineer I, AI Infrastructure, Google Cloud
Google
Austin, TX · Addison, TX
Experience building and operationalizing machine learning models.
Added 1 hour ago
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Robotics Hardware & Data Engineer
Calder
Redwood City, CA
- $144,000 to $376,000 USD / year
- Familiarity with machine learning and robot learning - you understand how data becomes a trained policy.
Added 1 hour ago
C
Research Engineer - Data Eval
Calder
Redwood City, CA
- $199,000 to $483,000 USD / year
…open-source model ecosystems), rigorous about experimental design, and skeptical by instinct. Experience with robotics, imitation learning, world models, computer vision models, or…
Added 1 hour ago
Machine Learning Engineer
Raydar
San Francisco, CA
- Either a strong software engineer transitioning into AI research, or an AI or machine learning engineer already working in the field.
Added 2 hours ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Brings substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a track record of building and deploying…
Added 2 hours ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
…one or more languages such as Rust or Python. Experience with machine learning frameworks like PyTorch is also required. The focus is on writing scalable, maintainable, and highly optimized…
Added 2 hours ago
Senior Machine Learning Data Pipeline Engineer
NVIDIA USA
CA
We are hiring a Senior Machine Learning Data Pipeline Engineer to invent and build the next generation of data pipelines for end-to-end autonomous driving foundation models. You will…
Added 2 hours ago
Machine Learning Engineer, Data Curation - Autonomous Vehicles
NVIDIA USA
CA · WA
We are looking for a Machine Learning Engineer for our Autonomous Vehicles Data Curation team. The role involves applying state-of-the-art techniques to search, curate, and evaluate…
Added 2 hours ago
IC
Senior AI Software Development Engineer
Intel Corporation
OR · TX
- $133,410 to $240,710 USD / year
Join Intel's Communications Runtime team and help build the communication software stack powering the world's largest AI and High-Performance Computing (HPC) workloads. As a Senior AI…

EdgeQ Technologies Private Limited

AI Engineer (Remote)

Remote, United States

$110,000 to $150,000 USD / year · Full-time

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Job details

Pay: $110,000 to $150,000 USD / year
Job type: Full-time
Posting language: English

Original job description

AI Engineer Experience: 1–5 Years Salary Range: $110,000 – $150,000 USD per annum Location: Austin, Texas, United States Work Arrangement: 100% Fully Remote Employment Type: Full-Time Job Summary We are looking for a talented and motivated AI Engineer with 1–5 years of professional experience to join our growing engineering team. The ideal candidate should have hands-on experience with cloud platforms such as AWS or Azure, Infrastructure as Code tools like Terraform, containerization technologies such as Docker, and application monitoring solutions. The successful candidate will help build, deploy, manage, and monitor AI-powered applications and scalable cloud infrastructure. This role is ideal for professionals who are passionate about artificial intelligence, cloud technologies, automation, and modern infrastructure engineering. This is a fully remote opportunity for candidates currently residing in Austin, Texas, United States.

Key Responsibilities

Design, develop, deploy, and maintain AI-powered applications and services.
Build and manage cloud infrastructure using AWS or Microsoft Azure.
Implement Infrastructure as Code (IaC) solutions using Terraform.
Containerize applications and services using Docker.
Support the deployment and scaling of AI/ML workloads in cloud environments.
Implement monitoring, logging, and alerting solutions to ensure system reliability.
Monitor application performance, infrastructure health, and resource utilization.
Troubleshoot infrastructure, deployment, and application-related issues.
Automate infrastructure provisioning and deployment workflows.
Collaborate with AI engineers, software developers, DevOps engineers, and data teams.
Follow security, scalability, and cloud infrastructure best practices.
Maintain technical documentation and deployment procedures.
Participate in code reviews, technical discussions, and continuous improvement initiatives.

Required Technical Skills

1–5 years of professional experience in AI Engineering, Cloud Engineering, DevOps, or a related technical field.
Hands-on experience with AWS or Microsoft Azure.
Practical knowledge of Terraform and Infrastructure as Code.
Experience with Docker and containerization.
Understanding of cloud infrastructure, networking, and deployment concepts.
Knowledge of monitoring, logging, and alerting tools.
Understanding of application deployment and troubleshooting.
Familiarity with CI/CD pipelines and automation practices.
Basic understanding of AI/ML application deployment and cloud integration.
Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Familiarity with Kubernetes and container orchestration.
Exposure to monitoring tools such as Prometheus, Grafana, Datadog, or CloudWatch.
Knowledge of Python or scripting languages.
Familiarity with Git and version control systems.
Understanding of cloud security, IAM, and access management.
Exposure to machine learning frameworks and AI deployment workflows.
Familiarity with serverless computing and cloud-native architectures.
Understanding of Agile/Scrum development methodologies.

Compensation & Benefits

Annual Salary: $110,000 – $150,000 USD.
Full-time employment opportunity.
100% fully remote work arrangement.
Opportunities for professional growth and technical development.
Exposure to modern AI and cloud technologies.
Collaborative and flexible remote working environment.
Opportunities to work on innovative AI-powered projects.

Final compensation will depend on relevant experience, technical expertise, qualifications, and overall skills. Location & Work Requirements

This is a 100% fully remote position.
Candidates must currently reside in Austin, Texas, United States.
Candidates must be authorized to work in the United States.
Must be comfortable collaborating with distributed teams during US business hours.
Strong written and verbal communication skills are required.
Ability to work independently and collaboratively in a remote environment.

What We're Looking For

A passionate technology professional interested in AI and cloud engineering.
Strong understanding of cloud infrastructure and automation.
Ability to troubleshoot and resolve technical challenges.
Attention to detail and commitment to system reliability.
Strong communication and teamwork skills.
Willingness to learn emerging AI and cloud technologies.
Ability to manage priorities and deliver high-quality solutions.

How to Apply If you are passionate about Artificial Intelligence, AWS/Azure, Terraform, Docker, and cloud infrastructure, we would love to hear from you! Whether you have experience deploying AI applications or managing cloud environments, this is an exciting opportunity to grow your career in AI Engineering. Apply now and become part of our growing engineering team!

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