Universal Avionics

AI-ML Engineer 1

Universal Avionics$70K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong foundation in computer science and data science concepts
  • Solid understanding of Python; familiarity with Java, R, or C++ is a plus
  • Knowledge of basic machine learning algorithms and techniques
  • Familiarity with ML frameworks like TensorFlow, scikit-learn, or PyTorch
  • Proficient in data wrangling and preprocessing using tools like Pandas and NumPy
  • Awareness of cloud platforms and services like AWS or Azure

Responsibilities

  • Design and develop scalable AI solutions using machine learning models
  • Ensure performance and reliability of AI systems through thorough testing
  • Execute performance testing for AI systems with large datasets
  • Conduct research to build machine learning algorithms and predictive models
  • Utilize big data tools to create data pipelines and training datasets
  • Train and evaluate machine learning models using relevant frameworks
  • Collaborate with teams to support project goals and implementation

Benefits

  • Medical insurance with multiple plan options and preventive care coverage
  • Vision and dental insurance included
  • 401(k) with immediate safe harbor matching
  • Flexible 9/80 work schedule option
  • Vacation, sick time, and 14 paid holidays
  • Tuition reimbursement and gym reimbursement
  • Wellness programs and Employee Assistance Program (EAP)
Full 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. Other duties may be assigned.
  • Design and develop scalable AI solutions using machine learning models and tools
  • Ensure the scalability, reliability, and performance of AI systems through development and testing
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithms
  • Conduct research and testing to build machine learning algorithms and predictive models
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasets
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learn
  • Integrate, test, and monitor AI solutions in production environments
  • Collaborate with cross-functional teams to support project goals and solution implementation

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 - 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!

About Universal Avionics

Universal Avionics is a leading manufacturer of innovative avionics systems for business jets, turboprop aircraft, transport aircraft, helicopters, regional and commercial airliners used by corporate, military and airline operators. The company is headquartered in Tucson, Arizona and has additional offices in the United Kingdom, France, Germany, and Singapore. Universal Avionics has been providing avionics solutions for over 30 years and has a reputation for delivering quality products and exceptional customer service.
Learn more about Universal Avionics
Size
200 employees
Industry
Founded
1981

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