MLOps Specialist, Machine Learning Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Focus on data engineering with an emphasis on DataOps and MLOps, ensuring a robust, efficient, and reproducible data ecosystem for machine learning and generative AI initiatives;

• Develop and sustain data ingestion, monitoring, and automation processes to guarantee data reliability, performance, and traceability throughout the platform;

• Establish standards, pipelines, and technical solutions to expedite the development of new data products, fostering standardization and component reuse;

• Implement and manage tools and infrastructure on AWS (including S3, Lambda, Redshift, GuardDuty) while being proficient in concepts and technologies such as data mesh, Python, Spark, SQL, DBT, Terraform, Kubernetes, Airflow, and CI/CD;

• Identify bottlenecks, assess the needs of AI teams, and propose developmental plans for the data platform, collaborating proactively with other specialists.

⛳️ Requirements

• Practical experience with AWS and its core services (S3, Lambda, Redshift, GuardDuty, DataZone, etc.);

• Experience in data mesh architecture and the implementation of data pipelines;

• Proven ability in automating processes using Terraform and infrastructure-as-code tools;

• Proficiency in programming with Python, Spark, and SQL, along with experience utilizing DBT for data transformations;

• Familiarity with workflow orchestration tools (Airflow, Kubernetes) and CI/CD methodologies;

• Knowledge of DataOps and MLOps to ensure effective monitoring, performance, and data traceability;

• Strong comprehension of governance, security, and data quality policies, including LGPD, PCI, and EPIA;

• A collaborative, curious, and adaptable mindset, thriving in dynamic and rapidly changing environments.

🏝️ Benefits

• Profit Sharing

• Company Car

• Food Allowance

• Meal Voucher

• Health Insurance

• Dental Insurance

• Gympass

• Private Pension Plan

• Home Office Allowance

• Allya

• Unlimited access to courses from our Localiza University

• Internal training and development programs

• Discounts on vehicle purchases and rentals