Egen Solutions
Senior Machine Learning Engineer
Egen Solutions, Naperville, Illinois, United States, 60564
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results.
We are looking for a Senior Machine Learning Engineer to assist in developing implementation patterns across natural language and generative AI practices. You will be responsible for delivering systems design and architecture, documenting requirements, and making design decisions.
Responsibilities:
Lead delivery teams and clearly delineate parallel work-streams
Lead discovery sessions with clients and carefully navigate requirement discussions to avoid designs requiring additional scope
Support pre-sales discussions and assist pre-sales engineers to identify scope issues and clearly define assumptions for LOEs
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 to consistently mature the delivery practice
What we're looking for:
5+ years of experience as a ML Engineer
Bachelor’s Degree is preferred but will consider relevant experience as an equivalent
Strong foundation in NLP, vision, and generative AI
Vertex AI, Vertex Search and Conversations
Dialogflow CX
Vision AI and OCR
Cloud Text-to-Speech, Cloud Speech-to-Text
Cloud Translation, Glossaries
Python
Vector stores
Langchain
Data Loss Prevention
CICD best practices, especially with complexity of CCAI and/or PSO engagements
#J-18808-Ljbffr
We are looking for a Senior Machine Learning Engineer to assist in developing implementation patterns across natural language and generative AI practices. You will be responsible for delivering systems design and architecture, documenting requirements, and making design decisions.
Responsibilities:
Lead delivery teams and clearly delineate parallel work-streams
Lead discovery sessions with clients and carefully navigate requirement discussions to avoid designs requiring additional scope
Support pre-sales discussions and assist pre-sales engineers to identify scope issues and clearly define assumptions for LOEs
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 to consistently mature the delivery practice
What we're looking for:
5+ years of experience as a ML Engineer
Bachelor’s Degree is preferred but will consider relevant experience as an equivalent
Strong foundation in NLP, vision, and generative AI
Vertex AI, Vertex Search and Conversations
Dialogflow CX
Vision AI and OCR
Cloud Text-to-Speech, Cloud Speech-to-Text
Cloud Translation, Glossaries
Python
Vector stores
Langchain
Data Loss Prevention
CICD best practices, especially with complexity of CCAI and/or PSO engagements
#J-18808-Ljbffr