Senior AI Engineer (MLOps)
Porto Alegre, Rio Grande do Sul, Brazil; São Paulo, São Paulo, Brazil; Remote, Brazil
TELUS Digital Brazil
By choosing TELUS you get access to amazing plans, phones and high-speed internet on Canada's most-awarded network, and help connect Canadians in need.Who We Are
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location and Flexibility
This role can be fully remote for candidates based in the states of São Paulo and Rio Grande do Sul as well as in the cities of Rio de Janeiro, and Belo Horizonte, due to team distribution and occasional in-person opportunities. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.
The Opportunity
TELUS Digital seeks an AI Engineer with MLOps and LLMOps background to own projects’ pipelines and CI/CD infrastructure, supporting the turning business requirements into production-ready AI/GenAI features. You’ll build scalable MLOps frameworks, convert AI research into seamless integrations, and optimize models through prompt engineering and embeddings. Strong skills in Python or TypeScript, machine learning (including deep learning and NLP/LLMs), and the ability to explain complex concepts to all stakeholders are essential.
Responsibilities
- Design, implement, and maintain scalable ML and LLM pipelines for training, validation, deployment, and monitoring.
- Apply your knowledge of software engineering and AI systems to develop AI solutions that directly address and resolve business problems.
- Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
- Partner with other data and AI professionals to compile the team's work into comprehensive pipelines for continuous integration, deployment, and delivery.
- Own end-to-end infrastructure for model CI/CD, including versioning, automated testing, and evaluations.
- Develop and incorporate AI and GenAI solutions and pipelines while adhering to industry best practices, including moderation, security, and compliance standards.
- 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 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
- Hands-on experience building and operating MLOps platforms (Docker, Kubernetes, Terraform) and LLMOps frameworks.
- Strong experience with CI/CD in the GCP environment, leveraging services and frameworks such as Vertex AI, Kubeflow, DataFlow, Cloud Build, Cloud Deploy, Artifact Registry, and Container Registry.
- Experience configuring and deploying LLM Guardrails, while ensuring security and compliance among AI-powered solutions.
- Expertise in tracking application execution with observability tools such as LangFuse, Phoenix, while leveraging Cloud Monitoring dashboards and alerts.
- Strong understanding of the trade-offs between Generative AI models, considering the balance of cost and performance, depending on the use case.
- Demonstrable experience in applied AI, with a foundation in machine learning, deep learning, NLP, LLMs, and statistical analysis.
- Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
- Experience with software development in Python and/or TypeScript for API development and orchestration.
- 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.
- Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.
Bonus Points
- Withhold a GCP certification on AI/ML, Cloud, or Data segments.
- Experience deploying and maintaining large-scale data-intensive solutions, maintaining high throughput, low latency, and data security.
- Experience with advanced Agentic AI architecture, performance optimization of machine learning models, and the integration of AI into larger software ecosystems.
- Contributions to AI thought leadership in the industry.
Why TELUS Digital?
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!
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile API Development APIs Architecture Chatbots CI/CD Consulting Dataflow Deep Learning DevOps Docker Engineering GCP Generative AI Kubeflow Kubernetes LLMOps LLMs Machine Learning Microservices ML models MLOps NLP Pipelines Privacy Prompt engineering Python Research Security Statistics Terraform Testing TypeScript Vertex AI
Perks/benefits: Career development Flex hours Health care Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.