Python-AI ML (GenAI) Senior Engineer

Stanley David and Associates

United States

14 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+16 more

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

Job description

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

Requirements

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.