Hello, we are Randstad Brazil, a global leader in complete Human Resources solutions. Our specialized expertise empowers talent to remain relevant in the job market, offering opportunities in various areas — administrative, operational, executive, and technology — and in different work formats. Founded in 1960 in the Netherlands, we are now present in 39 countries, including Brazil.

Job Description

Specialist to work on the development of Machine Learning projects.

Responsibilities and duties

• Develop statistical and machine learning models using modern data science and machine learning techniques;
• Develop applications for platforms that may involve AI/ML;
• Design innovative solutions for Network as a Service (NaaS) platforms;
• Conduct studies and analyses of structures, data, platforms, and AI/ML tools;
• Prepare technical documentation on proposed/adopted solutions;
• Provide support to the QA team;
• Review code developed according to technology best practices;
• Prepare technical documentation;
• Act as a knowledge multiplier, providing technical support to peers.

Requirements and qualifications

Complete higher education, preferably in Computer Science, Information Systems, or Computer Engineering;

Experience in:

• Python or Go programming language;
• Statistical methods for data analysis;
• Development of Machine Learning/Deep Learning algorithms;
• Microservices architecture;
• Development of modern web applications;
• High-volume databases (relational, non-relational, data lake, or data warehouse);

Knowledge in:

• Keras, PyTorch, and TensorFlow
• MLOps;
• Cloud platforms (AWS or Azure);
• CI/CD;
• Development best practices;
• Agile methodologies.

It would be interesting if you had:

• Knowledge in SDN solutions, Big Data, Data Science, gRPC, temporal databases, and data mocking;
• Experience working in multidisciplinary teams;
• Advanced English for reading and writing and intermediate for conversation.

Additional information

Benefits:

Unimed Health Plan

Life insurance

Complementary Pension Plan

Scholarships of up to 100%

Extended Maternity and Paternity Leave

Work hours: Monday to Friday from 8:00 AM to 12:00 PM and from 1:30 PM to 5:30 PM.

Work location: Activities may be performed under the "Home Office" remote work regime.