Ability to troubleshoot issues independently and follow established procedures.
Experience monitoring nightly batch schedules and doing basic troubleshooting
Experience working with network hardware and software.
Strong customer service, communication, and organizational skills.
Experience working with network and security administrative processes such as password management.
Associate's degree in information technology or related field, or equivalent experience.
3+ years' Experience providing end-user and infrastructure technical support.

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Engineer/ Sr Engineer, IT AI

American Airlines

Fort Worth, TX 76101

~ 44 min OnsiteHealth InsuranceRetirement Benefit

3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments
Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.)Experience in Agile methodologies, such as SCRUM
J2EE technologies: Python, Java, JSP, JMS, JAXB, JDBC, EJB
Experience developing and implementing governance frameworks and controls for responsible AI
Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning
Proficiency and demonstrated experience in the following technologies:
Frameworks: Spring Framework, Spring Boot, (Spring)
Build/deployment tools: Maven, Gradel, Git, Junit, Mockito
Expertise in Prompt Engineering, including designing and optimizing prompts for foundation models
Front-end: React, Angular JS, CSS, jQuery, AJAX
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
Proficiency in post-deployment model maintenance, including observability, monitoring, and drift detection
Web Services: REST/SOAP (JSON/WSDL/XML)
3+ years of professional, design, and open-source experience
Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ, SQL Developer, IDE
Proficiency in object-oriented design techniques and principles
Cloud-based development: Azure Cloud, AWS, GCP
AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face
Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j, ADO Pipelines, Docker
Web Servers: Apache, Tomcat, tcServer, Websphere
MLOps Tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes
Proficiency in Full Stack Development
Knowledge of Vector Databases (e.g., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG).
Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment