Machine Learning Engineer

Typescouts; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

An innovative company is seeking a Machine Learning Engineer to develop cutting-edge conversational AI models. In this exciting role, you will leverage your expertise in machine learning frameworks and natural language processing to design, train, and evaluate AI models that enhance user interactions. You will play a key role in optimizing workflow efficiency and productivity by automating tasks and improving team collaboration. Join a forward-thinking team that values creativity and innovation, and contribute to simplifying business operations across various industries. This is a fantastic opportunity to make a significant impact in the field of AI and machine learning.

Qualificações

• Proficiency in machine learning frameworks is essential.
• Experience in designing and evaluating AI models required.

Responsabilidades

• Develop and train conversational AI models to enhance user interaction.
• Ensure models are efficient and accurate through continual improvement.

Conhecimentos

Machine Learning Frameworks

Natural Language Processing (NLP)

AI Model Design and Evaluation

Model Deployment

Descrição da oferta de emprego

Position: Machine Learning Engineer

Salary: USD$3 - 4k / month + PTO

Working hours: 9am - 5pm EST

Company location: Canada (remote)

Candidates location: Latin America (LATAM)

• Upload your resume in English, please

About the company

A company that offers tools to simplify and unify business operations by connecting different applications and data in a single interface. Their main goal is to reduce manual processes and the need to switch between various tools, making work easier across industries like retail, manufacturing, and construction.

The platform uses artificial intelligence to automate tasks, improve workflow efficiency, and optimize team productivity. With this centralized integration, companies can better manage their operations and data, reducing operational complexity.

RESPONSIBILITIES

• Develop and train the conversational AI models.

• Ensure models are efficient and accurate.

• Handle data preprocessing.

• Continually improve the AI agents based on user interactions and feedback.

REQUIREMENTS

• Proficiency in machine learning frameworks

• Ability to design, train, and evaluate AI models for tasks such as speech recognition, text generation, and dialogue management.

• Experience with natural language processing (NLP)

• Deep understanding and familiarity with model deployment.