AI-ML Engineer 1

Universal Avionics•Tucson, AZ

1d•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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

Benefits

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