2

Remote Aws Machine Learning Jobs in Nevada (NOW HIRING)

AI Cyber Engineer

Las Vegas, NV · Remote

$80 - $90/hr

Skills Security, Cloud, Machine learning, Azure, Risk management, Artificial intelligence ... remote position. Application Deadline This position is anticipated to close on Jun 11, 2026. About ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198.50K/yr

Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

next page

Showing results 1-20

Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote AWS Machine Learning Engineer, and why are they important?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

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

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are the most commonly searched types of Aws Machine Learning jobs in Nevada? The most popular types of Aws Machine Learning jobs in Nevada are:
What are popular job titles related to Remote Aws Machine Learning jobs in Nevada? For Remote Aws Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Nevada look for? The top searched job categories for Remote Aws Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Remote Aws Machine Learning jobs? Cities in Nevada with the most Remote Aws Machine Learning job openings:
AI Cyber Engineer

AI Cyber Engineer

TEKsystems

Las Vegas, NV • Remote

$80 - $90/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Top Skills' Details

1) 5+ years of cloud engineering specifically with Azure

2) Cyber security assessment background specifically working within AI controls (Microsoft preferred)

Description

AI Security Engineer to assist with design and implementation of security controls around AI/ML for training deployments. Will build and maintain reference architecture for AI solutions and will identity and mitigate threats for prompt injections and in house AI security. They will define and enforce guard rails around agentic AI and secure handling of prompts, conversation memory, etc.

Engineering background in cloud is needed. Good amount of interacting with the AI tools which is somewhat greenfield. Kevin has been playing with some of these tools for about 2 years.

Cloud preference: Azure primarily but some in AWS. They are mostly a Microsoft shop and AI will be in Foundry. They are working with some open source LLM's but they live in Dev Environments. These need to be evaluated and protected. Not really DevOps but someone that understands supply chain could be helpful. They have app sec people that can assist with this. Will have 3 layers of interviews - 1. Technical 2. cultural 3. leadership.

Need to be well spoken as they will interact with CISO and directors from time to time.

Skills

Security, Cloud, Machine learning, Azure, Risk management, Artificial intelligence, Cyber security, Information security

Top Skills Details

Security,Cloud,Machine learning,Azure,Risk management,Artificial intelligence,Cyber security,Information security

Additional Skills & Qualifications

• Design and implement security controls for AI/ML pipelines, including training, evaluation, deployment, and inference environments.

• Build and maintain secure reference architectures for GenAI and ML solutions

• Implement least privilege, network segmentation, secrets management, encryption, and secure configuration baselines for AI workloads.

• Identify and mitigate AI-specific threats including:

o Prompt injection and indirect prompt injection

o Data poisoning and training-time attacks

o Model inversion/extraction and membership inference

o Sensitive data leakage via prompts, outputs, logs, embeddings, or telemetry

• Define and enforce guardrails (policy, technical controls, and monitoring).

• Implement strong identity and access controls for model endpoints, training resources, datasets, and annotation workflows.

• Ensure secure handling of prompts, completions, embeddings, and conversation memory.

• Configures, implements, and troubleshoots a wide variety of cyber security devices

• Implement and maintain cyber tools

• Monitor and respond to output from cyber tools’ health

• Tune tools for optimum performance and business focused monitoring

• Configure and troubleshoot security infrastructure devices

• Capacity planning for cyber devices

• Respond to events/incidents with knowledge, efficiency, and professionalism

• Create and participate in cyber security practice exercises

• Identify and define system security requirements for a heterogeneous computing environment (Microsoft, IBM, Linux, proprietary OS, Industrial Control Systems)

• Design cyber security architecture in accordance with IT architects and current and forward-looking network design

• Create, develop, and maintain detailed cyber security design documentation

• Prepare, document, and maintain standard operating procedures and protocols

• Collaborate with team members and business teams to troubleshoot system

• Configure and troubleshoot cyber security devices

• Submit and respond to tickets from

Experience Level

Expert Level

Job Type & Location

This is a Contract to Hire position based out of Las Vegas, NV.

Pay and Benefits

The pay range for this position is $80.00 - $90.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 11, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.