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Entry Level Cloud 9 Jobs (NOW HIRING)

AI-ML Engineer 1

Tucson, AZ ยท On-site +1

$110K - $132K/yr

This entry-level position plays a critical role in supporting the design, development, and ... Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training ...

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... Learn how ML systems operate in real production environments (cloud, monitoring, iteration)

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... Learn how ML systems operate in real production environments (cloud, monitoring, iteration)

Machine Learning Engineer I

Seattle, WA ยท On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... Learn how ML systems operate in real production environments (cloud, monitoring, iteration)

Audit Staff

Austin, TX ยท On-site

... entry-level Staff to whos ready to kick-start their career in public accounting. WHO ARE YOU? Yo ... BENEFITS & PERKS 401(k) Retirement Plan 3 Weeks PTO 9 Paid Holidays Medical, Dental, Vision, Life ...

Audit Staff

Austin, TX ยท On-site

$70K - $74K/yr

... entry-level Staff to who's ready to kick-start their career in public accounting. WHO ARE YOU? Yo ... BENEFITS & PERKS 401(k) Retirement Plan 3 Weeks PTO 9 Paid Holidays Medical, Dental, Vision, Life ...

Audit Staff

Austin, TX ยท Hybrid

$70K - $74K/yr

... entry-level Staff to who's ready to kick-start their career in public accounting. WHO ARE YOU? Yo ... BENEFITS & PERKS 401(k) Retirement Plan 3 Weeks PTO 9 Paid Holidays Medical, Dental, Vision, Life ...

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Entry Level Cloud 9 information

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$23

$62

$87

How much do entry level cloud 9 jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for entry level cloud 9 in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Cloud 9 vs Cloud Engineer?

AspectEntry Level Cloud 9Cloud Engineer
Required CertificationsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner)Advanced certifications (e.g., AWS Certified Solutions Architect)
Work EnvironmentSupport teams, entry-level projects, learning-focusedDesigning, implementing, and managing cloud solutions
Employer & Industry UsageStartups, tech companies, cloud service providersLarge enterprises, cloud service providers, IT firms

Entry Level Cloud 9 roles typically require foundational cloud certifications and focus on supporting cloud operations, making them ideal for beginners. Cloud Engineers handle complex cloud infrastructure tasks, requiring advanced skills and experience. The two roles differ mainly in responsibility level and expertise, but both are essential in cloud computing careers.

More about Entry Level Cloud 9 jobs
What are the most commonly searched types of Cloud 9 jobs? The most popular types of Cloud 9 jobs are:
Infographic showing various Entry Level Cloud 9 job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 1% Part Time, 2% Temporary, 9% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
AI-ML Engineer 1

$98K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Summary
We are seeking a motivated and detail-oriented AI/ML Engineer I to join our team. This entry-level position plays a critical role in supporting the design, development, and optimization of scalable AI and machine learning solutions. The ideal candidate has a strong foundation in computer science and data science concepts and is eager to grow within a collaborative and fast-paced environment.
Essential Duties and Responsibilities include the following. ย Other duties may be assigned.

  • Design and develop scalable AI solutions using machine learning models and toolsย 
  • Ensure the scalability, reliability, and performance of AI systems through development and testingย 
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithmsย 
  • Conduct research and testing to build machine learning algorithms and predictive modelsย 
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasetsย 
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learnย 
  • Integrate, test, and monitor AI solutions in production environmentsย 
  • Collaborate with cross-functional teams to support project goals and solution implementation

ย Competency

To perform the job successfully, an individual should demonstrate the following competencies.

Technical Skills

  • Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial.
  • Machine Learning: Knowledge of basic algorithms (linear regression, decision trees, k-NN, etc.) and supervised/unsupervised learning techniques.
  • AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Handling: Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and NumPy.
  • Big Data Tools: Exposure to tools like Spark or Hadoop is a plus.
  • Cloud Computing: Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker.

Analytical & Problem-Solving

  • Ability to break down complex problems into solvable components.
  • Experience in basic model evaluation (precision, recall, F1 score).
  • Comfort working with statistical concepts and metrics.

Software Development

  • Understanding of software engineering best practices: version control (Git), testing, and debugging.
  • Exposure to containerization tools (Docker, Kubernetes) is a bonus.

What We Offer:

  • Benefits eligibility starts on your first day as a full-time employee at Universal Avionics.
  • Medical insurance (multiple plan options, including low-deductible PPO)
  • Preventive care covered at 100%
  • Affordable copays for doctor visits, urgent care, and prescriptions
  • Teladoc virtual care access
  • Vision coverage through VSP (includes exams, frames, and lenses)
  • Dental insurance (covers preventive, basic, and major services)
  • 401(k) with immediate safe harbor match (100% match on up to 4% of pay after 60 days)
  • 9/80 work schedule option โ€“ every other Friday off
  • Vacation, sick time, and 14 paid holidays (including a week in December)
  • Tuition reimbursement
  • Gym reimbursement
  • Wellness programs:
    • One Pass Select (discounted access to gyms, fitness apps, and more)
    • Travel assistance and employee discounts
  • Employee Assistance Program (EAP) and emotional wellness support:
    • Up to 3 free counseling visits per issue/year through Reliance Matrix
    • Up to 6 free counseling sessions per issue/year through Health Advocate
    • Includes mental health, financial, legal, work-life, medical navigation, and life coaching support
  • And more!

Why Youโ€™ll Love Working Here:

  • Universal Avionics offers the best of both worlds: the close-knit, agile culture of a mid-sized company, with the resources and global impact of our parent company, Elbit Systems.
  • Our team is driven by purpose, innovation, and a shared passion for aviation safety.
  • Here's what makes our work environment thrive:
  • A collaborative, supportive team of skilled professionals and mentors
  • Groundbreaking projects that shape the future of avionics technology
  • A company culture that promotes innovation, career growth, and continuous learning
  • Meaningful work that impacts air travel safety around the world
  • A strong work-life balance, including a 9/80 schedule option

ย To learn more about Universal Avionics, visit: www.UniversalAvionics.com

ย Universal Avionicsโ€™ products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.