**Our Opportunity** ---------------------- Are you passionate about technology, innovation, and eager to join an inclusive, collaborative, and continuously evolving environment? Then this opportunity is for you! At Capgemini, we value the balance between personal and professional life. Therefore, we offer flexible work models, including hybrid arrangements aligned with project needs. Our goal is to deliver the best experience for you, respecting your lifestyle and promoting well-being. We are seeking a Data Scientist specializing in Python, AWS, and Machine Learning to join our team. **Responsibilities** --------------------- * Develop, train, and deploy Machine Learning models, ensuring scalability and performance * Build and maintain training and inference pipelines using AWS SageMaker * Work with AWS services such as S3, EC2, Lambda, SageMaker, and IAM, ensuring architectural best practices and security * Develop data solutions using Python and its core libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) * Implement and sustain MLOps practices, including automation, model versioning, and monitoring * Apply CI/CD practices for continuous integration and deployment of models into production * Perform data manipulation and integration using relational and non-relational databases (SQL and NoSQL) * Collaborate with technical and business teams to understand requirements and translate them into data-driven solutions * Ensure code versioning and development best practices using Git **Requirements** -------------- * Experience in developing and deploying Machine Learning models * Proficiency in AWS services (S3, EC2, Lambda, SageMaker, IAM) * Experience building training and inference pipelines * Advanced knowledge of Python and Data Science libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) * Experience with MLOps and CI/CD practices * Knowledge of SQL and NoSQL databases * Experience with code versioning (Git) * Intermediate/advanced English (technical reading and communication) **Diversity, Inclusion, and Belonging:** ------------------------------------------ At Capgemini, you can be yourself. We value diversity in all its forms and foster an inclusive environment through committees such as: * Women@Capgemini – Female empowerment and gender equity. * Capgemini Black – Representation and appreciation of Black culture. * LGBTQIA+@Capgemini, Capgemini Accessibility, among others. Our commitment is ongoing: we are recognized by GPTW, Bloomberg Gender Equality Index, EDGE, and Ethisphere as one of the world’s most ethical and inclusive companies. Our job openings are open to everyone, regardless of color, ethnicity, religion, age, gender identity, sexual orientation, or disability. **Development and Benefits** -------------------------------- Here, you are the protagonist of your career! We offer: * A structured career plan and personalized learning paths. * Corporate University with access to Harvard, Udemy. * Official certifications with partners such as SAP, AWS, Microsoft, Salesforce. * Language courses with EF Education First (English, Spanish, French, German). **Comprehensive Well-being:** * Medical and dental assistance. * Wellhub and Equilibrium (physical and mental health). * Private pension and life insurance. * Family Care Program: extended maternity and paternity leave, fertility support, personalized guidance on health and well-being. * Meal allowance, benefits club, and much more! **Make It Real** ---------------- At Capgemini, we unleash human potential through technology to build a more inclusive, sustainable, and innovative future. If you share these values, join us in transforming the world!
João Silva
Indeed · HR
João Silva
Indeed · HR
