Role Description We are looking for a highly capable Senior MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects. - Build, maintain, and document machine learning frameworks (python packages) used across multiple projects. - Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers. - Develop reusable feature stores for rules-based and AI/ML models. - Implement monitoring capabilities for model performance and effectiveness in production. - Automate CI/CD testing and deployments incorporating MLOps best practices. Qualifications - Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field. - 5+ years of overall experience in Data Analytics. - 3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement. - Sharp critical thinking skills and ability to learn and question complex processes and solutions. - Experience building scalable machine learning systems and data-driven products working with cross-functional teams. - Experience creating python packages. - Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. - Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). - Proficiency in SQL. Company Description Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Role Description Estamos procurando um Cientista de Dados Sênior de grande impacto para se juntar à nossa equipe de Dados e Análise, que está em crescimento. Nesta função, você fará a ponte entre a engenharia de dados em grande escala e a IA generativa de ponta. Você será responsável por extrair insights úteis do nosso Datalake para impulsionar o desempenho em nível de unidade em nossas mais de 600 lojas. - Exploração do Datalake: Consultar, limpar e analisar grandes volumes de dados transacionais e operacionais para identificar tendências no número de veículos, no valor médio das ordens de reparo (ARO) e na eficiência da mão de obra. - Otimização multissinales: Desenvolver modelos que levem em conta variações geográficas, como frotas locais de veículos, sazonalidade dos pneus influenciada pelo clima e mudanças econômicas regionais. - Integração de IA: Arquitetar e implementar fluxos de trabalho usando o Claude para realizar análises de dados não estruturados (por exemplo, avaliações de clientes, notas de técnicos) e auxiliar na prototipagem rápida de código para pipelines de dados. - Análise preditiva: Construir e implantar modelos para previsão de demanda, previsão de rotatividade e otimização de estoque para garantir que os pneus certos estejam nas oficinas certas no momento certo. - Colaboração estratégica: Traduzir resultados estatísticos complexos para uma linguagem de “nível de loja” para gerentes regionais e liderança executiva. Qualifications - Mais de 5 anos de experiência em Ciência de Dados, com pelo menos 2 anos focados no varejo com várias lojas ou em serviços automotivos. - Conhecimento especializado em SQL e Python para ambientes de data lake (por exemplo, Snowflake, Databricks ou AWS S3/Athena). - Experiência comprovada em engenharia de prompt e integração de LLMs (especificamente Claude) em fluxos de trabalho de produção ou análise de dados. - Profundo entendimento da economia “Four-Wall” — como mão de obra, peças e fatores do mercado local afetam os resultados financeiros (P&L) de lojas individuais. - Mestrado ou doutorado em Estatística, Ciência da Computação, Economia ou área quantitativa relacionada. Benefits - Trabalho Remoto: Desfrute da flexibilidade de trabalhar de qualquer lugar do Brasil, com total autonomia e organização. - Saúde e Bem estar: Plano de Saúde e Odontológico, Seguro de Vida e Wellhub (Gympass). - +Educação: Descontos em cursos da FIAP e MBA USP Esalq para você continuar aprendendo e se desenvolvendo. - Diferenciais exclusivos: Descontos em lojas Multilaser, bonificação por indicação de profissionais e negócios, horário adaptável e bônus anual.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On: We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: - Relevance & recommendation systems (content, search, notifications) - AI-powered discovery & LLM-driven experiences - Content understanding & representation - Large-scale ML infrastructure and pipelines What You’ll Do: - Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding - Lead projects from ideation → modeling → experimentation → production → iteration - Design and improve recommender systems and ranking models across surfaces (feed, search, notifications) - Optimize for user engagement, discovery, and long-term value - Build next-gen AI-powered search and recommendation experiences, including LLM-integrated systems - Develop pipelines that help users find high-quality answers and content across Reddit’s corpus - Build and optimize content embeddings and representation models for users, communities, and content - Leverage and advance LLMs and multimodal models for deeper understanding and personalization - Evaluate model performance, improve accuracy, and reduce bias - Partner with Product, Data Science, Infra, and UX teams to solve complex problems - Translate ambiguous business needs into scalable ML solutions - Mentor engineers and raise the bar across the organization - Establish best practices for ML development, experimentation, and responsible AI - Act as a thought leader across teams and domains Basic Qualifications: - 6+ years of experience building, deploying, and operating machine learning systems in production - Strong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals - ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) - Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) - Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure - Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions - Experience driving measurable impact through applied machine learning Preferred Qualifications: - Subject matter expertise in Recommender systems, search systems (lexical and semantic retrieval and ranking),, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, content understanding etc. - Familiarity with distributed systems and large-scale data processing frameworks(Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) - Experience working with real-time systems and low-latency production environments - Background in feature engineering, model optimization, and production monitoring - Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale - Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams: - Home Experience - ML Understanding - Feed Relevance - Answer Experience - Search and Answers Relevance - Search Experience Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000—$322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

• Establish best practices and share expertise through collaboration and mentorship. • Design, train, fine-tune, and optimize machine learning models and algorithms, then deploy them into production environments with a focus on scalability, reliability, and performance. • Develop and maintain advanced LLM-powered systems and multi-agent architectures to automate and accelerate cybersecurity risk assessment workflows. • Implement best practices such as continuous monitoring, data drift detection, and automated retraining to ensure long-term model accuracy, robustness, and stability. • Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training. • Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency.