AI-ML Engineer

Location:

Tucson Corporate Office, 3260 E Universal Way, Tucson, AZ 85756, USA

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.

• 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 Tensor Flow, 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

• 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, Tensor Flow, Keras, or PyTorch.
• Data Handling:
  Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and Num Py.
• 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 Sage Maker.

• 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.

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

• Benefits eligibility starts on your first day as a full-time employee.
• Medical insurance (multiple plan options, including low-deductible PPO).
• Preventive care covered at 100%.
• Affordable copays for doctor visits, urgent care, and prescriptions.
• 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).
• 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!

Universal Avionics’ 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.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.