Senior AI Engineer, ADK GCP

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🕒 June 3

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🔌 API

🤖 Artificial Intelligence

API • Artificial Intelligence • Cloud Solutions

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• 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

• 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

• 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