Description:

The Lead Machine Learning Engineer will lead delivery teams and clearly delineate parallel work-streams.
This role involves leading discovery sessions with clients and carefully navigating requirement discussions to avoid designs requiring additional scope.
The engineer will support pre-sales discussions and assist pre-sales engineers in identifying scope issues and clearly defining assumptions for Levels of Effort (LOEs).
The position requires driving reusable code and solution architecture practices.
The engineer will apply cloud architecture and application design knowledge.
Assisting the sales team with potential clients is also part of the job responsibilities.
Documenting requirements and design decisions is essential.
The engineer must ensure that coding practices result in clean, reusable code to consistently mature the delivery practice.

Requirements:

Candidates must have 5+ years of experience as a Machine Learning Engineer.
A Bachelor’s Degree is preferred, but relevant experience will be considered as an equivalent.
A strong foundation in Natural Language Processing (NLP), vision, and generative AI is required.
Experience with Vertex AI, Vertex Search, and Conversations is necessary.
Proficiency in Dialogflow CX is essential.
Knowledge of Vision AI and Optical Character Recognition (OCR) is required.
Familiarity with Cloud Text-to-Speech and Cloud Speech-to-Text is necessary.
Experience with Cloud Translation and glossaries is required.
Proficiency in Python is essential.
Knowledge of vector stores and Langchain is required.
Understanding of Data Loss Prevention is necessary.
Familiarity with Continuous Integration and Continuous Deployment (CICD) best practices, especially with the complexity of CCAI and/or PSO engagements, is required.

Egen is committed to being a place where the best people choose to work, fostering a culture of learning and innovation.
The company offers a supportive environment for solving tough problems and achieving fast, effective results.
Egen promotes inclusion, diversity, and equity in the workplace, ensuring all qualified applicants receive consideration for employment.
Reasonable accommodations are available for candidates during all aspects of the selection process, ensuring accessibility for individuals with disabilities.