Machine Learning jobs in Brazil

In 2021, Poatek was acquired by WillowTree, an award-winning digital product consultancy recognized as one of the fastest growing and best places to work in the United States. Now a TELUS Digital company, with offices across the globe, we continue to partner with the world’s leading brands, such as the FOX, Capital One, HBO, PepsiCo, Domino’s and more, to design, build, and transform their digital products and strategies. We’re looking to grow our Poatek offices in Brazil with top talent excited to collaborate with team members across the globe to deliver innovative solutions for our clients.

This is a hybrid role. This model requires the ability to work in a hybrid mode from one of our offices in São Paulo (2 times/ week or 8 days/ month) or Porto Alegre (3 times/ week or 12 days/ month). Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.

As a Data Science Manager you’ll be the leader of one or more cross-functional teams (e.g., data scientists, data engineers, GenAI engineers, program managers, etc) building amazing data and AI-powered products for our clients, and you’ll help them achieve their personal and professional goals. You’ll also drive the team and our clients to use cutting-edge techniques and processes for the development of data solutions, and use your technical prowess to shape our deliveries. Success looks like an energized, happy team building high-quality data science and AI solutions for eager, engaged client stakeholders.

• Provide technical guidance to teams and projects for international clients
• Work alongside GenAI Engineers, Data Scientists, and Data Engineers in data and AI projects
• Lead and mentor cross-functional teams to deliver high-quality AI-powered solutions while fostering collaboration and growth
• Support strategy teams in identifying and implementing robust AI and data strategies to solve business challenges
• Stay up-to-date with GenAI trends, tools and frameworks, introducing innovations and process improvements to teams when appropriate
• Maintain strong relationships with clients and internal teams, advocating for the best use of AI and Data practices

• You are driven by curiosity and enthusiasm about learning new technologies
• Foster team autonomy and proactive engagement
• 5+ years of professional experience in Data Science or Machine Learning, alongside a minimum of one year of experience in GenAI engineering, developing AI solutions
• Have strong technical expertise in Machine Learning
• Have a deep understanding of Data Science, especially in the field of Generative AI, being used to concepts such as LLMs, RAGs, and Agentic AI
• Have experience in data strategy and governance techniques, driving clients to the successful implementation of data and AI solutions
• Have managed a team of engineers building solutions and have been responsible for growing the people on the team through goal-setting, coaching, and feedback
• Are comfortable having difficult conversations and always have your clients' and teammates' best interests in mind
• Have familiarity with Agile techniques for managing work, quality assurance, testing, and LLM evaluation
• Can simplify and communicate about complex problems around technology, business processes, user experience, and development tasks
• Keeps themselves up-to-date with the latest technology trends in the market, leveraging that to drive innovation for teams and clients

• Are comfortable collaborating and communicating with teams and clients to deliver software in an agile environment
• Think of the product you are building as part of an ecosystem of development, testing, and deployment tools and processes
• Pride yourself in your work and take responsibilities and commitments seriously
• Value daily opportunities to immerse yourself deeply in your work
• Celebrate differences and thrive in an environment where everyone’s unique contributions are encouraged
• Value a feedback culture that fosters personal and professional growth

At TELUS Digital, you'll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter.

We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale.

In addition to being part of an international and innovative consultancy company, you will have:

• A Global Innovation Hub: Be part of an international consultancy at the forefront of technology
• Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life
• Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions
• Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market
• Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path
• Global Exposure: Embrace optional international travel opportunities to broaden your horizons

Some of our benefits:

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that Information with us.

For more information on how we use your information, see our Privacy Policy.