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Leega

Senior AI Engineer, ADK GCP

Leega

Data Engineer focusing on AI infrastructure and machine learning solutions at Leega, a tech consultancy. Responsibilities include data pipeline design, implementation, and model operationalization.

Posted 6/3/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSBigQueryCloudDockerEC2ETLGoogle Cloud PlatformKubernetesNoSQLPythonPyTorchScikit-LearnSQLTensorflowTerraform

About the role

Key responsibilities & impact
  • Design, implement, and optimize the data infrastructure that supports AI and machine learning (ML) solutions
  • Ensure data availability, quality, and security
  • Ingest and transform data for the data lake and Feature Store
  • Develop and support the operationalization of AI and ML models
  • Conduct complex analyses and monitor data quality

Requirements

What you’ll need
  • Experience building optimized data pipelines for machine learning (ML) and artificial intelligence (AI) projects
  • Knowledge of ETL/ELT processes for ingesting large volumes of data for ML/AI applications
  • Languages: Python (required) and R (a plus)
  • AI/ML frameworks: TensorFlow, PyTorch, Scikit-Learn, MLflow
  • Scripting: Bash/Shell for workflow automation
  • Proven experience with Google Gemini
  • Proven experience with Google ADK
  • Demonstrated experience developing APIs in Python (minimum 3 years)
  • Experience with CI/CD and ML workflow automation tools such as MLflow, DVC, and Kubeflow
  • Familiarity with data monitoring and validation tools, Cloud Logging, Cloud Monitoring, Dynatrace, or Datadog
  • Airflow, Luigi, or Prefect for orchestrating ML/AI pipelines
  • Knowledge of SQL and NoSQL
  • Ability to manage Data Lakes for AI data preparation
  • Knowledge of Feature Stores
  • AWS: experience with S3, Glue, SageMaker, EC2, Lambda, and Redshift
  • GCP: experience with BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Run, Composer, Vertex AI, Cloud Functions, and Dataplex
  • Docker and Kubernetes for running and orchestrating AI/ML models
  • Knowledge of Terraform and CloudFormation
  • Implementation of automated pipelines for training, validation, deployment, and monitoring of AI models
  • Ability to understand business requirements and translate them into technical AI solutions

Benefits

Comp & perks
  • Porto Seguro Medical Plan
  • Porto Seguro Dental Plan
  • Profit Sharing (PLR)
  • Childcare Assistance
  • Alelo Meal and Food Vouchers
  • Home Office Allowance
  • Partnerships with Educational Institutions
  • Support for Certifications, including Cloud certifications
  • Livelo Points
  • TotalPass
  • Mindself

ATS Keywords

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Hard Skills & Tools
PythonRETLELTTensorFlowPyTorchScikit-LearnMLflowSQLNoSQL
Soft Skills
ability to manage data lakesability to understand business requirementsability to translate business requirements into technical solutions