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# Python-AI ML (GenAI) Senior Engineer

- **Company:** Stanley David and Associates
- **Location:** Phoenix, AZ, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Apache HTTP Server, Code Review, Computer Programming, Continuous Delivery, Continuous Integration, Data Structures, Software Design Patterns, Python (Programming Language), Machine Learning, Apache Maven, NoSQL, Release Management, Software Engineering, Chatbots, Genesys, Spring-boot, Deep Learning, Git, Low Latency, Data Analytics, Apache Kafka, Web Technologies, Machine Learning Operations, Jenkins, Microservices
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/c3caf3bd-58bf-4b73-aeb0-ed8e68f68c7f

## About the Role

* 7+ Years

Must Have Technical/Functional Skills

 * Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java and Python.
 * Hands-on experience with:
 + Spring Boot
 + Microservices
 + Kafka
 + Relational and/or NoSQL databases
 + Experience with conversational interfaces, chatbots, Machine Learning, Deep Learning, and Data Analytics.
 + Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various CI/CD pipeline tools.
 + Experience with automated release management using:
o Maven
o Salt
o Git
o Jenkins
o Good understanding of web technologies, including HTTP and Apache.
o Familiarity with Unix/Linux.
o Good understanding of data structures, algorithms, and design patterns.
o Strong written communication and documentation abilities.
o Proactively identify continuous improvement opportunities.
o Knowledge and experience with Contact Center ecosystems/Genesys Framework and Architecture is preferred.
o Strong leadership and communication skills with the ability to lead teams and collaborate with stakeholders.
o Excellent communication skills with the ability to influence technical and non-technical stakeholders across functions.

## Description

o Design and implement AI/ML solutions from POC to production.
o Translate business requirements into scalable AI architectures.
o Own the model lifecycle, including:
# Training
# Deployment
# Monitoring
# Retraining
o Deploy models into production using CI/CD pipelines.
o Monitor model performance, drift, latency, and cost.
o Ensure reliability, scalability, and security of AI systems.
o Mentor junior AI/ML engineers and review code and designs.
o Lead technical discussions and architecture reviews.
o Provide guidance on engineering best practices and standards.
o Work closely with Product Owners, Architects, and Program Managers.
o Present technical solutions to business and customer stakeholders.
o Support proposal development and technical estimations.


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