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Senior Machine Learning Engineer

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: A Senior AI Engineer is responsible for developing and implementing generative AI solutions, optimizing prompts, and collaborating with business teams. Key Highlights: 1. Working on the development and implementation of generative AI solutions. 2. Optimizing prompts and building customized knowledge bases. 3. Collaborating on the evolution of AI solutions and maintaining infrastructure. **Our Product Technology Team:** We scale the business, optimize processes, reduce costs, and deliver the best experience to enable new achievements for our customers. Using in-house developed technology, we work with multiple mainstream programming languages—ideal for those who, like us, love challenging themselves and growing by solving real-world problems. If technology fuels you and making a difference is your passion, join us aboard the Nave! **Our Process** Everything starts with your application, and from there, we’ll build an incredible journey. Note that for some roles, we conduct a technical assessment with our development team, followed by a conversation with your future leader. The duration of the process may vary depending on the opportunity, but rest assured—we commit to: * Carefully and thoughtfully reviewing your profile; * Providing feedback at every stage; * Sending emails with all necessary information. **Diversity in Our DNA** Only differences can take us further. We don’t compromise on this—it’s non-negotiable. Today, women occupy over half of our decision-making positions. Our commitment is to expand inclusion for women, Black people, people with disabilities (PCDs), and LGBTQIAPN+ individuals. **We act based on three pillars:** **Diversity:** We value plurality and respect all differences with empathy. We strive for our Crew to truly reflect the society in which we live. **Equity:** We believe in fair pathways for everyone. Ensuring access, opportunities, and development is a duty—not an exception. **Inclusion:** We seek a safe, well-being-oriented, and belonging-focused environment. Here, everyone can be their authentic self—with freedom, respect, and pride. If this is also your mission, Creditas could be your next step. **Responsibilities and Duties** As a Senior AI Engineer, you will be responsible for developing and implementing generative AI solutions within Creditas. Your primary mission will be to design and orchestrate AI agent workflows together with business teams, ensuring solutions meet the specific needs of different business units (BUs). You will optimize prompts, implement AI agent pipelines, and build customized knowledge bases supporting use cases. You’ll also monitor AI solution performance, define evaluation metrics, propose continuous improvements, and collaborate closely with experienced data engineers and data scientists to evolve solutions. Additionally, this role involves direct collaboration in maintaining established technical infrastructure (e.g., APIs, containers, CI/CD), contributing to the robustness, scalability, and reliability of generative AI systems. **Requirements and Qualifications** * Solid experience in MLE/MLOps/Machine Learning engineering (minimum ~3 years in the field); * Practical experience deploying AI agent solutions, with at least 6 months of hands-on work on projects involving generative AI and LLMs; * Knowledge of constructing and fine-tuning prompts for generative AI; building Agentic RAG solutions using low-code tools; analyzing model performance using LLM observability tools; and quantitatively and qualitatively evaluating RAG- and LLM-based solutions; * Experience with Python, API development using FastAPI, CI/CD pipelines (preferably GitHub Actions), and containerized solutions on AWS ECS/EKS. **PREFERRED QUALIFICATIONS:** ------------------------ * Knowledge of conversational AI; * Familiarity with Twilio or Twilio Flex/Studio; * Knowledge of programming languages such as Java/Kotlin/JVM; * AWS expertise; * Experience with business rules; * Basic infrastructure knowledge (Kubernetes, Terraform). **Additional Information** **Explore Our Benefits** **:** ----------------------------------- **Health and Well-being** * Health Insurance (Alice) * Dental Insurance (SulAmérica) * Wellz: 100% free therapy sessions * Wellhub: Access to gyms and studios * Creditas Endurance: Program incentivizing high-impact sports * Pharmacy Benefit (Univers) * Life Insurance (Porto Seguro) * Birthday Day Off **Family and Quality of Life** * Extended Parental Leave: 6 months for pregnant employees and 35 days for non-pregnant employees * Family Care: Support program for maternity and paternity * Childcare Assistance * Assistance for dependents with disabilities (PCDs) * SESC: Access to facilities for you and dependents **Financial Health** * Meal Allowance (VR): Flexible benefits card (Creditas Card) * Payroll-Deductible Loan (Creditas Benefits) * Salary Advance (Creditas Benefits) * Insurance Discounts (Minuto Seguros) * Access to exclusive financial education content in the Creditas app **Recognition and Development** * PPR: Profit Participation Program * Educational and developmental incentives  **Flexibility and Mobility** * Flexible work model * Free bike storage at the office * Discounted parking at the office (subject to internal availability) Creditas is a financial services platform offering loans, insurance, and investments—leveraging home, car, and salary as collateral. Operating since 2012, it is Latin America’s largest online credit platform and has raised over R$4 billion (US$879 million) in equity from international funds, with a current portfolio of R$5.6 billion. Through proprietary technology, it offers products such as auto- or real estate-backed loans, private payroll-deductible loans, corporate benefits, and insurance. Creditas has processed over 13 million loan applications, achieved a valuation of US$3.5 billion, and completed over 40 capital market issuances (FIDCs, CRIs, and FIIs). **WHY JOIN OUR TEAM?** From a 5m² office in 2012 to three fully integrated ecosystems. We combine home, car, or salary to offer credit, insurance, or investment solutions. As our history shows, we’re always moving forward. *We combat complacency and the status quo because we believe there are always new paths to improve lives.* Here, “it’s not possible” is never an answer—we go and do it. We dive into details, test, fail, learn, and are always guided by the desire to do better. Limitations aren’t barriers—they become starting points for creativity. We’re objective in message and thoughtful in delivery; beating around the bush isn’t in our vocabulary. We know high performance isn’t about running faster—it’s about running together, going further, and valuing differences, open debate, and honest conversations. Above all, we give space for each person to write their own story. If you’re seeking a place to grow, experiment, and leave a legacy, Creditas could be your next step. **MORE DIVERSITY, MORE TRUTH** We firmly believe differences make us stronger and more flexible in making the best decisions. It’s more than intention—it’s our commitment to you, to our team, and to society. Always.

Source:  indeed View original post
João Silva
Indeed · HR

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