Machine Learning Engineer

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

Resumo da oferta

Join a forward-thinking company as a Machine Learning Engineer, where your expertise in AI and machine learning frameworks will drive innovation. In this role, you will develop and train cutting-edge conversational AI models, ensuring their efficiency and accuracy while handling data preprocessing. Your work will contribute to simplifying business operations across various industries, leveraging artificial intelligence to automate tasks and enhance productivity. This is an exciting opportunity to make a significant impact in a dynamic environment, where your contributions will help shape the future of business operations.

Serviços

Paid Time Off (PTO)

Qualificações

• Proficiency in machine learning frameworks is essential.
• Experience with natural language processing and model deployment is required.

Responsabilidades

• Develop and train conversational AI models for various applications.
• Ensure models are efficient and accurate through continuous 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.