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Machine Learning Engineer (GenAI / LLMs)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: Accenture is seeking senior professionals to work on Machine Learning and Generative AI technology projects in a dynamic and collaborative environment. Key Highlights: 1. Opportunities to make an impact on technology projects 2. Working in distributed teams within a global context 3. A dynamic and collaborative environment Accenture is a global leader in solutions and services that help the world’s largest organizations reinvent themselves—building their digital core and unleashing the power of artificial intelligence to drive agile value across the enterprise. We bring together approximately 786,000 professionals, our assets and proprietary platforms, and a robust ecosystem of partnerships. Our strategy is to be our clients’ preferred reinvention partner and the most client-focused company in the world—powered by AI and recognized as a great place to work globally. Through our Reinvention Services, we integrate our capabilities in strategy, consulting, technology, operations, Song, and Industry X with deep industry expertise to design and deliver solutions and services for our clients. Our purpose is to fulfill the promise of technology combined with human ingenuity, and we measure our success by the 360° value we generate for all our stakeholders. Visit us at accenture.com. We are looking for **senior-level professionals** interested in working in a dynamic and collaborative environment with real opportunities to impact technology projects. This role targets individuals with experience in Machine Learning and Generative AI engineering, working in distributed teams within a global context. * Solid production experience with Machine Learning and LLMs; * Proficiency in Python for developing data and AI solutions; * Experience with Cloud platforms, preferably AWS; * Proven experience building and operating AI/ML solutions in production environments; * Strong experience in programming logic and object-oriented programming; * Experience developing REST and/or gRPC APIs for model consumption; * Experience with microservices architecture and system integration; * Experience building, maintaining, and evolving data and inference pipelines; * Experience with code versioning (Git); * Adherence to best practices in development, testing, and coding standards (Clean Code, SOLID); * Strong understanding of the software development lifecycle and agile methodologies; * Ability to translate business requirements into technical solutions while working autonomously; * Experience with structured and unstructured data, including vector databases; * Experience with RAG (Retrieval-Augmented Generation) and integration with LLMs. **Preferred Qualifications:** * Experience with GenAI and foundation models (e.g., AWS Bedrock, SageMaker); * Experience with agentic architectures and LLM orchestration (LangChain, LangGraph, or similar); * Experience with distributed and event-driven systems; * Experience with build, integration, and continuous delivery (CI/CD) tools; * Knowledge of MLOps / GenAIOps, including monitoring, logging, and inference reliability; * Experience optimizing model performance (latency, batch processing, asynchronous inference, caching); * Experience with cloud-based applications (AWS, Azure, or GCP); * Experience debugging and troubleshooting production applications; * Experience designing scalable and resilient architectures. **Employment Type:** CLT **Benefits:** * Health Insurance — 100% company-subsidized (for employee and dependents) * Dental Insurance * Meal or Food Allowance — no payroll deduction * Life Insurance * Private Pension Plan * Gympass * Discounted stock purchase program * Pharmacy Discount* * Daycare Assistance* * Language School Partnership* * Extended Maternity and Paternity Leave * Profit Sharing Program (PPR)* * + As per current policy We seek candidates aligned with our company values, enthusiastic about working in a collaborative and dynamic environment, and committed to excellence in delivery and innovation in their daily work. We value competencies regardless of race, age, gender, sexual orientation, religion, disability, or political belief. Our people’s diversity enables us to fulfill the promise of technology and human creativity. We recognize individuals’ unique characteristics, respect differences, and invest in an increasingly inclusive environment.

Source:  indeed View original post
João Silva
Indeed · HR

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