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Job Summary: We are seeking senior professionals to work on technology projects involving Machine Learning and Generative AI within distributed teams and a global context. Key Highlights: 1. Impact on technology projects 2. Dynamic and collaborative environment 3. Real opportunities for impact Accenture is a leading provider of solutions and services that help the world's largest organizations reinvent themselves, build their digital core, and unleash the power of artificial intelligence to generate value with agility 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—AI-enabled and an excellent place to work worldwide. 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 seek **senior-level professionals** interested in working in a dynamic and collaborative environment with real opportunities to impact technology projects. This position targets individuals with experience in Machine Learning and Generative AI engineering, working in distributed teams and a global context. * Solid experience with Machine Learning and LLMs in production; * Proficiency in Python for data and AI solution development; * 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, 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 tools (CI/CD); * 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 with scalable and resilient architectures. **Employment Type:** CLT **Benefits:** * Medical Insurance – 100% company-subsidized (for employee and dependents) * Dental Insurance * Meal or Food Allowance – no payroll deduction * Life Insurance * Private Pension Plan * Gympass * Discounted company stock purchase option * 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, creed, disability, or political conviction. The diversity of our people 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.
