AI - ML Engineer 1

AI-ML Engineer

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.

• 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

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

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 1-3 years of working experience in AI, machine learning, or software development.

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:
• Vitality (earn rewards for healthy habits)
• 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 You'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

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