Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, AI, or related field, or equivalent work experience., Strong understanding of cloud technologies, preferably AWS, for deploying AI solutions., Proven experience in building and deploying AI/ML models, including model selection and optimization., Familiarity with CI/CD practices, containerization technologies, and database technologies..

Key responsibilities:

Research and solve complex technical problems to build scalable AI solutions.

Design and implement AI/ML models for web applications, including recommendation systems and predictive analytics.

Continuously optimize machine learning models to meet performance and accuracy benchmarks.

Collaborate with team members to refine requirements and create solutions that meet business needs.

Job description

Description

Tyler Technologies (NYSE: TYL) is a leading provider of end-to-end information management solutions and services for local governments. Tyler Technologies has been providing innovative school transportation management software and consulting for more than two decades.

We are seeking a Senior Software Engineer that loves working on enterprise cloud hosted systems with a focus on integrating AI solutions. This is an exciting opportunity to join our team of passionate coders and contribute to the development of AI-driven features that will shape the future of our applications.

Responsibilities

Research complex technical problems, formulate recommendations, and build technically sound and scalable AI augmented solutions.
Design, develop, and implement AI/ML models tailored to the specific needs of the web application, including recommendation systems, predictive analytics, natural language processing, data analytics, and more.
Continuously improve and optimize machine learning models and algorithms, ensuring they meet performance, scalability, and accuracy benchmarks.
Collaborate with Subject Matter Experts and development team to refine requirements, analyze, design and create solutions that target defined business needs.
Write and test code, documenting and implementing functionally appropriate, technically sound, and well-integrated application systems.
Utilize new technologies and tools to enhance applications.
Provide guidance to less experienced team members to ensure knowledge transfer and training are successfully meeting department goals.

Qualifications

Bachelor’s degree in either Computer Science, Software Engineering, AI, or related field. Comparable work experience can be substituted.
Strong understanding of cloud technologies, preferably AWS, and how to deploy and manage AI solutions within these environments
Proven experience building and deploying AI/ML models, including practical knowledge of model selection, training, testing, and optimization.
Familiarity with CI/CD practices, containerization technologies (Docker, Kubernetes), and version control (e.g., Git).
Experience with data preprocessing and feature engineering, particularly with structured and unstructured data sources.
Knowledge of database technologies (SQL, NoSQL) and how to interact with data for AI model training and inference.
Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, or Microsoft ML.NET strongly desirable
3+ years of experience in design and development of multi-tier browser-based applications, using the .NET platform, C#, and cloud technologies desirable.
Strong analytical, communication, and problem-solving skills with a keen attention to detail
Ability to work in a team environment using Agile-based development methodologies

Required profile