We are specialists in **technological transformation**, combining human expertise with AI to create scalable tech solutions. With over 8,000 CI\&Ters worldwide, we have formed partnerships with more than 1,000 clients throughout our 30-year history. Artificial Intelligence is our reality. **Important**: If you reside in the Campinas Metropolitan Region, your presence at our city offices is mandatory, per our current attendance policy. We are seeking an experienced and passionate Machine Learning Engineer who transforms data into intelligent solutions that deliver real business impact. You will be responsible for developing, implementing, and optimizing machine learning models in production, working in a modern and collaborative environment with cutting-edge technologies. **Responsibilities:** * ML Model Development: Design, develop, and implement scalable machine learning models to solve complex business problems * MLOps and Production: Build and maintain robust ML pipelines, ensuring model deployment, monitoring, and maintenance in production * Feature Engineering: Create and optimize features using DBT and PySpark, working with large-scale data volumes * Workflow Orchestration: Develop and manage data and ML pipelines using Apache Airflow * Data Processing: Perform large-scale distributed data processing with PySpark * Collaboration: Work closely with data scientists, data engineers, and product teams to deliver end\-to\-end solutions * Optimization: Monitor model performance, identify degradations, and implement continuous improvements * Documentation: Maintain clear technical documentation on architecture, models, and processes **Technical Requirements:** * Solid experience developing and deploying machine learning models in production * Advanced Python and ML/DL libraries (scikit\-learn, TensorFlow, PyTorch, XGBoost, etc.) * Familiarity with GenAI architectures: Amazon Bedrock or similar, RAG pipelines, vector databases (pgvector, OpenSearch, Pinecone), and integration with LLM APIs * API and microservices architecture (FastAPI, API Gateway, ECS/EKS) * PySpark: Proven experience in distributed data processing * Advanced SQL and experience with PostgreSQL * Apache Airflow: Building and managing complex DAGs * AWS Cloud: Knowledge of services such as SageMaker, S3, EC2, Lambda, ECR/ECS * Experience with Snowflake for analytical storage and processing * Knowledge of DBT for data transformation and modeling * Code versioning with Git and adherence to development best practices **Nice-to-Have:** * Experience with MLflow, Kubeflow, or other MLOps platforms * Knowledge of Docker and Kubernetes * Experience with Feature Stores (Feast, Tecton, etc.) * Familiarity with CI/CD practices for ML * Knowledge of Big Data (Hadoop, Kafka, Spark Streaming) * Experience with A/B testing and experimentation * AWS certifications (ML Specialty, Solutions Architect, etc.) * Experience with agile methodologies (Scrum, Kanban) \#LI\-DR3 **Our Benefits:*** Health and dental insurance; * Meal and food allowance; * Childcare assistance; * Extended parental leave; * Partnerships with gyms and health and wellness professionals via Wellhub (Gympass, TotalPass); * Profit Sharing Program (PLR); * Life insurance; * Continuous learning platform (CI\&T University); * Discount club; * Free online platform dedicated to promoting physical, mental, and overall well-being; * Pregnancy and responsible parenting course; * Partnerships with online learning platforms; * Language learning platform; * And many more More details about our benefits here: https://ciandt.com/br/pt\-br/carreiras At CI\&T, inclusion begins at first contact. If you are a person with a disability, it is important to **submit your medical report during the selection process.** *Check which information must be included in the report* *by clicking here.* This way, we can ensure the support and accommodations you deserve. **If you do not yet have a qualifying medical report, don’t worry: we can support you in obtaining it.** We have a dedicated Health and Wellness team, inclusion specialists, and affinity groups ready to support you at every stage. Count on us to walk this journey side by side.
João Silva
Indeed · HR
João Silva
Indeed · HR
