Python AI/ML and Generative AI Engineer

Job Summary

Design and implement scalable AI/ML solutions from proof of concept through production. Translate business requirements into AI architectures, manage the model lifecycle, and collaborate with technical and business stakeholders to deliver reliable, secure, and production-ready solutions.

Must Have Technical/Functional Skills

• Proficiency in distributed and multi-tier systems and application development, with strong Python and Java programming skills.
• Hands-on experience with Spring Boot, microservices, Kafka, and relational and/or NoSQL databases.
• Experience with conversational interfaces, chatbots, machine learning, deep learning, data analytics, large language models, LangChain, and LangGraph.
• Experience with Agile development, continuous integration, continuous delivery, and CI/CD pipeline tools.
• Experience with automated release management using Maven, Salt, Git, and Jenkins.
• Understanding of web technologies, including HTTP and Apache, and familiarity with Unix/Linux.
• Understanding of data structures, algorithms, and design patterns.
• Strong written communication and documentation skills.
• Knowledge of contact center ecosystems and the Genesys Framework and architecture is preferred.

Roles & Responsibilities

• Design and implement AI/ML solutions from proof of concept through production.
• Translate business requirements into scalable AI architectures.
• Own the model lifecycle, including training, deployment, monitoring, and retraining.
• Deploy models into production using CI/CD pipelines.
• Monitor model performance, drift, latency, and cost.
• Ensure the reliability, scalability, security, governance, and compliance of AI systems.
• Mentor junior AI/ML engineers and review code and designs.
• Lead technical discussions and architecture reviews and provide guidance on best practices and standards.
• Collaborate with Product Owners, Architects, and Program Managers.
• Present technical solutions to business and customer stakeholders.
• Support proposal development and technical estimations.