Artificial Intelligence Consultant

Jobtailor; São Paulo; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo, Brazil, seeks a Data Engineer to develop and maintain scalable data pipelines for AI projects, ensuring quality, governance, and security of data used in models. You will collaborate with IT to manage data infrastructure, storage, and processing.

You will optimize data collection and processing for efficient AI use, evaluate model performance, monitor trends, and document processes. Fluency in English and basic Spanish are required.

Qualificações

• Extensive experience in data engineering and pipeline development (ETL/ELT).
• Knowledge of SQL and NoSQL databases.
• Familiarity with cloud infrastructure (AWS, Azure, Google Cloud).
• Proficiency in data governance, security, and compliance.
• Fluent English; basic Spanish.

Responsabilidades

• Develop and maintain scalable data pipelines for AI projects.
• Ensure data quality, integrity, and governance of data used in models.
• Collaborate with IT to manage data infrastructure, including storage and processing.
• Optimize data collection, storage, and processing for AI use.
• Evaluate and validate AI model performance and adjust as needed.
• Monitor AI trends and provide insights on relevant innovations.
• Document AI project processes and results; provide training and support.
• Manage CapEx/OpEx for AI initiatives.

Conhecimentos

Data Engineering

ETL/ELT Pipeline Development

SQL

NoSQL Databases

Cloud Infrastructure

Data Governance and Security

Fluent English

Basic Spanish

Ferramentas

Hadoop

Spark

Descrição da oferta de emprego

• Develop and maintain scalable data pipelines for AI projects
• Ensure the quality, integrity, and governance of data used in models
• Work with IT teams to manage data infrastructure, including storage, processing, and security
• Optimize data collection, storage, and processing for efficient AI use
• Evaluate and validate AI model performance, making adjustments as needed to ensure effectiveness
• Monitor AI trends and provide insights into relevant technological innovations
• Document AI project processes and results, and provide training and support to the internal team
• Manage CapEx/OpEx for artificial intelligence initiatives

Requirements

• Extensive experience in Data Engineering and pipeline development (ETL/ELT)
• Knowledge of databases (SQL, NoSQL) and big data tools (Hadoop, Spark)
• Familiarity with cloud infrastructure (AWS, Azure, Google Cloud)
• Proficiency in data governance, security, and compliance
• Fluent English
• Basic Spanish

Core Competencies

Demonstrates expertise in developing and maintaining scalable data pipelines for AI projects, ensuring data quality, integrity, and governance. Proficient in managing data infrastructure and optimizing data processes for effective AI utilization.

Highest-signal resume keywords

• Data Engineering
• ETL/ELT Pipeline Development
• SQL and NoSQL Databases
• Cloud Infrastructure (AWS, Azure, Google Cloud)
• Data Governance and Security

Hard Skills

• Data Pipeline Development
• ETL
• ELT
• SQL
• NoSQL
• Hadoop
• Spark
• Data Governance
• Data Security
• Data Compliance

Soft Skills

• Training and Support
• Documentation

Industry Keywords

• AI Projects
• Data Infrastructure
• Data Quality
• Data Integrity
• Data Processing
• CapEx
• OpEx

Tools & Technologies

• AWS
• Azure
• Google Cloud