Lead Machine Learning Engineer (CCAI, Dialog Flow)

Egen Solutions - Naperville, IL

Full-time - Mid Level

Naperville, IL

501-1,000 employees

Professional, Scientific, and Technical Services

About the position

The Lead Machine Learning Engineer will be responsible for leading delivery teams in the development and implementation of machine learning solutions, particularly in the context of Conversational AI (CCAI) and Dialogflow. This role involves engaging with clients to understand their requirements, guiding the technical architecture, and ensuring high-quality coding practices. The position emphasizes collaboration with sales and pre-sales teams to define project scopes and deliver innovative solutions that leverage advanced technologies.

Responsibilities

• Lead delivery teams and clearly delineate parallel work-streams
• Lead discovery sessions with clients and navigate requirement discussions
• Support pre-sales discussions and assist pre-sales engineers
• Drive reusable code and solution architecture practice
• Apply cloud architecture and application design knowledge
• Assist the sales team with potential clients
• Document requirements and design decisions
• Ensure coding practices result in clean, reusable code

Requirements

• 5+ years of experience as a Machine Learning Engineer
• Bachelor's Degree preferred or equivalent relevant experience
• Strong foundation in Natural Language Processing (NLP), vision, and generative AI
• Experience with Vertex AI, Vertex Search, and Conversations
• Proficiency in Dialogflow CX
• Knowledge of Vision AI and Optical Character Recognition (OCR)
• Familiarity with Cloud Text-to-Speech and Cloud Speech-to-Text
• Experience with Cloud Translation and Glossaries
• Proficient in Python
• Experience with vector stores and Langchain
• Understanding of Data Loss Prevention
• Knowledge of CI/CD best practices, especially in CCAI and/or PSO engagements

Benefits

• Opportunities for career advancement
• Pathways for skill development
• Innovative and inclusive work culture