MLOps Specialist, Machine Learning Engineer

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🕒 April 23

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Localiza&Co

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1973

🚗 Transport

🛍️ eCommerce

👥 B2C

Transport • eCommerce • B2C

Localiza&Co. is a car rental company that offers a range of services including vehicle rentals, fleet management, and car subscriptions. With a presence in multiple Latin American countries like Argentina, Brazil, Colombia, Ecuador, Mexico, Paraguay, and Uruguay, Localiza&Co. is dedicated to providing convenient and efficient transportation solutions. They cater to both individual customers and businesses, offering services such as fast digital vehicle pickup, loyalty programs, and various vehicle options for different travel needs.

📋 Description

• Work with a focus on data engineering, particularly DataOps and MLOps, ensuring the data ecosystem is robust, efficient, and reproducible for machine learning and generative AI projects; • Build and maintain data ingestion, monitoring, and automation processes, ensuring data reliability, performance, and traceability across the platform; • Define standards, pipelines, and technical solutions to accelerate the development of new data products, promoting standardization and component reuse; • Implement and maintain tools and infrastructure on AWS (such as S3, Lambda, Redshift, GuardDuty), and be proficient with concepts and technologies like data mesh, Python, Spark, SQL, DBT, Terraform, Kubernetes, Airflow, and CI/CD; • Identify bottlenecks, map AI teams’ needs, and propose evolution plans for the data platform, working proactively and collaboratively with other specialists.

🎯 Requirements

• Hands-on experience with AWS and its core services (S3, Lambda, Redshift, GuardDuty, DataZone, etc.); • Experience with data mesh architecture and implementing data pipelines; • Experience automating processes using Terraform and infrastructure-as-code tools; • Programming skills in Python, Spark, and SQL, and experience using DBT for data transformations; • Experience with workflow orchestration (Airflow, Kubernetes) and CI/CD practices; • Knowledge of DataOps and MLOps to ensure monitoring, performance, and data traceability; • Strong understanding of governance, security, and data quality policies, including LGPD, PCI, and EPIA; • Collaborative, curious, and adaptable profile, comfortable in dynamic, fast-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