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Lead Machine Learning Engineer (CCAI, Dialog Flow)

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Illinois (USA)

Offer summary

Qualifications:

5+ years experience as ML Engineer, Strong foundation in NLP, vision, and generative AI.

Key responsabilities:

  • Lead delivery teams and delineate work-streams
  • Support pre-sales discussions and drive reusable code practices
Egen logo
Egen SME https://egen.ai/
501 - 1000 Employees
About Egen
SpringML and Egen Solutions have merged to unleash the power of cloud, data, AI, and platforms for organizations. Our combined company is now named Egen. We are excited to bring together our two companies, joining platform engineering expertise and experience with data, AI, analytics, and cloud capabilities to strengthen the impact and value we deliver for organizations advancing their digital journeys.You can expect the same high standards from us as we combine forces to bridge technology and human empowerment. Learn more about this change and what to expect. Read the press release - https://www.businesswire.com/news/home/20230816740090/en/SpringML-Announces-Merger-with-Egen-Establishing-a-Powerful-Technology-Services-Company-Unleashing-the-Power-of-Data-and-AI
See more Egen offers

Job description

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 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

    • Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Dialogflow (Google Service)Natural Language Processing (NLP)Machine LearningCloud Computing ArchitecturePython (Programming Language)Machine Vision

    Other Skills

    • Verbal Communication Skills
    • Leadership
    Are you interested?

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