Description

You will design and implement AI/ML solutions from proof of concept to production, owning the full model lifecycle including training, deployment, monitoring, and retraining.

This role is on-site.

Responsibilities

• Translate business requirements into scalable AI architectures and deploy models into production using CI/CD pipelines.
• Monitor model performance, drift, latency, and cost to ensure reliability, scalability, and security of AI systems.
• Mentor junior engineers, review code and designs, and lead technical discussions and architecture reviews.
• Collaborate with Product Owners, Architects, and Program Managers to support proposal development and technical estimations.
• Ensure all AI solutions meet enterprise governance, security, and compliance standards while communicating with technical and non-technical stakeholders.

Required Skills

• 5+ years of experience in distributed/multi-tier system and application development.
• Strong programming proficiency in Python and Java.
• Hands-on experience with Spring Boot, Micro-services, and Kafka.
• Experience with relational and/or NoSQL databases.
• Working knowledge of CI/CD tools including Maven, Salt, Git, and Jenkins.
• Understanding of web technologies (HTTP, Apache) and Unix/Linux environments.
• Knowledge of data structures, algorithms, and design patterns.

Preferred Skills

• Experience with conversational interfaces, chatbots, machine learning, or deep learning.
• Knowledge of the Genesys Framework and Contact Center ecosystem.

Key Skills

Education

Bachelor's degree