Data Engineering Manager

TELUS Digital Brazil

Agudos

Híbrido

BRL 111 600 - 167 400

Tempo integral

14 dias+

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Health and dental plan

Life insurance

Monthly vouchers for meals and culture

Resumo da oferta

A leading tech company seeks a Data Engineering Manager to join their team in São Paulo. This hybrid role involves integrating generative AI models and collaborating with multiple professionals to develop scalable solutions. Ideal candidates will have experience in machine learning, Python, and cloud platforms. Flexible working hours and a collaborative environment are key highlights of the role.

Qualificações

Demonstrable experience in applied AI with a foundation in machine learning and NLP.
Strong understanding of generative AI models and their trade-offs.
Experience in architecting solutions that integrate generative AI.

Responsabilidades

Develop AI solutions to resolve business problems.
Partner with data professionals to address technical challenges.
Lead the implementation of AI components for high complexity projects.

Conhecimentos

Machine learning

Natural Language Processing (NLP)

Experience with Python

Cloud platforms (AWS, Azure)

Collaboration skills

Ferramentas

AWS Bedrock

Azure AI Services

Vertex AI

Descrição da oferta de emprego

Join to apply for the Data Engineering Manager role at TELUS Digital Brazil

Location and Flexibility

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.

The Opportunity

WillowTree is seeking a proficient GenAI Engineer passionate about the technology, and ready to implement research concepts into tangible and production-ready solutions for our global clients. As a GenAI Engineer, you will be instrumental in applying and integrating generative AI models to enhance digital products, while also applying best coding, testing, and monitoring practices, making AI accessible and valuable in a real-world context.

Responsibilities

Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
Understand and properly apply Responsible AI concepts in all the stages of the solution.
Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.

Qualifications

Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
Experience building and testing a server-side platform for API development and orchestration.
Proficient in the Python language and understands the trade-offs between multiple frameworks and patterns.
Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
Strong collaboration skills and ability to work alongside developers from multiple different areas.
Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

You’ll love this job if you...

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 on 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

Why Poatek / WillowTree?

Flexible hours and autonomy
Work with cutting edge technologies
Partner with global and relevant brands in the market
Collaborative team and learning ecosystem
Career development plan & growth
International travel opportunities (optional)

Some Of Our Benefits

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

Equality is a principle here at Poatek. 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 those information with us.

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

Seniority level