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Machine Learning Engineer (CCAI, Dialog Flow)

Remote:

Full Remote

Experience:

Junior (1-2 years)

Work from:

Illinois (USA)

Offer summary

Qualifications:

1+ years experience as a ML Engineer, Strong foundation in NLP, vision, and generative AI, Familiarity with various Google Cloud tools and services.

Key responsabilities:

Developing implementation patterns across natural language and generative AI practices
Responsible for systems design, architecture and making design decisions
Integrating conversational AI with backend systems and databases
Training and fine-tuning models based on real user interactions
Testing, bug resolution and performance optimization of AI systems

Egen SME https://egen.ai/

501 - 1000 Employees

See more Egen offers

Job description

Your missions

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:

Use API calls to extend functionality and integration with packaged NLP, vision, and GenAI services

Develop dial management systems to manage the flow of conversation including handing context, maintaining state, and deciding appropriate responses based on user inputs

Integrate the conversational AI with backend systems and databases to retrieve information or perform appropriate actions based on user requests

Train and fine-tune models based on real user interactions to improve the AI understanding and responsiveness

Test and resolve bugs to ensure the AI behaves as expected across various scenarios and user inputs.

Monitor and optimize performance of the AI systems that you work with

What we're looking for:

1+ 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