Python-AI ML (GenAI) Senior Engineer

Must Have Technical/Functional Skills

 

• Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java, Python

• Hands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.

• Experience in conversational interfaces, chatbots, machine learning, deep learning, and data analytics.

• Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.

• Experience with automated release management using Maven, Salt, Git, Jenkins

• Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux

• Good understanding of data structures, algorithms, and design patterns

• Great written communication and documentation abilities

• Looks proactively beyond the obvious for continuous improvement opportunities.

• Knowledge & experience of Contact center ecosystem/Genesys Framework and Architecture, familiarity with the Genesys ecosystem would be preferrable.

• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.

• Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike. 

 

Roles & Responsibilities

Design and implement AI/ML solutions from POC to production

Translate business requirements into scalable AI architectures

Own model lifecycle: training, deployment, monitoring, retraining

Deploy models into production with CI/CD pipelines

Monitor model performance, drift, latency, and cost

Ensure reliability, scalability, and security of AI systems

Mentor junior AI/ML engineers and review code/designs

Lead technical discussions and architecture reviews

Provide guidance on best practices and standards

Work closely with Product Owners, Architects, and Program Managers

Present technical solutions to business and customer stakeholders

Support proposal development and technical estimations

Ensure AI solutions meet enterprise governance, security, and compliance standards