Senior Data Engineer - AI/ML Focus (Remote)

We are seeking a highly skilled Data Engineer with an AI/ML focus to join our client’s growing data & analytics team in Brazil. This role is ideal for someone who loves building scalable data pipelines, operationalizing machine learning workflows, and partnering closely with data scientists to bring models into production.

You will design, develop, and maintain data infrastructure that powers AI-driven insights across the organization. This is a fully remote position working with cross-functional product, engineering, and analytics teams.

Key Responsibilities

• Build, optimize, and maintain ETL/ELT pipelines using Python and modern data engineering frameworks.
• Architect and manage data workflows, ensuring accuracy, scalability, and reliability.
• Work closely with data scientists to deploy, monitor, and tune machine learning models.
• Develop feature engineering pipelines, data preprocessing workflows, and model-serving APIs.
• Integrate data from various sources (APIs, databases, cloud storage, streaming platforms).
• Implement MLOps best practices including versioning, CI/CD for ML, and automated retraining workflows.
• Optimize data storage using cloud-native tools (AWS, GCP, or Azure).
• Create and maintain documentation, data catalogs, and operational guides.
• Monitor data system performance and recommend improvements.

Required Skills & Experience

• 3–7+ years of experience as a Data Engineer, Python Engineer, or similar backend/data role.
• Strong proficiency in Python including building production-grade data pipelines.
• Experience with AI/ML workflows: feature engineering, inference pipelines, or deploying models.
• Proficiency with SQL and relational databases (PostgreSQL, MySQL, SQL Server).
• Hands-on experience with at least one cloud platform (AWS, GCP, or Azure).
• Experience using data orchestration tools like Airflow, Prefect, or Dagster.
• Familiarity with MLOps tooling: MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
• Strong understanding of data modeling, data warehousing, and distributed systems.
• Strong problem-solving skills and the ability to work cross-functionally in a remote setup.

Preferred Qualifications

• Experience with Spark, Databricks, or other big-data processing tools.
• Familiarity with Kafka, Kinesis, or other streaming platforms.
• Understanding of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
• Exposure to deep learning frameworks (TensorFlow, PyTorch) is a plus.
• Experience working with Brazilian clients or distributed LATAM teams.