Senior MLOps Engineer (Brazil) - Advertising

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is a globally recognized network that uniquely balances creativity and engineering expertise at scale. As part of a leading technology-first group, they partner with businesses to navigate the complexities of evolving consumer behaviors, emerging technologies, and AI. With a global presence and the ability to address the entire consumer journey, they thrive on solving the most challenging problems. Their work spans industries such as finance, healthcare, media, and e-commerce, delivering innovative solutions for world-class clients.

Job Summary

We are seeking a Senior MLOps Engineer to join a cutting-edge AI/ML engineering team. In this high-visibility role, you will design and implement MLOps pipelines, manage cloud-based resources, and optimize AI/ML infrastructure to deliver scalable, precise, and innovative machine learning solutions. From audience segmentation to advanced language modeling, you’ll work on transformative technologies to solve real-world problems for top-tier clients.

Responsibilities

• Design and implement MLOps pipelines to ensure consistency across the organization.

• Configure and manage cloud-based resources to support AI/ML workloads.

• Automate model deployment and management through scripts and tools.

• Collaborate with data scientists and engineers to develop tailored MLOps solutions.

• Monitor and optimize AI/ML infrastructure performance, identifying and resolving bottlenecks.

Qualifications and Job Requirements

• Extensive experience deploying machine learning models to cloud environments.

• Strong expertise in container orchestration tools.

• Proficiency in infrastructure-as-code (IaC) frameworks for cloud resource management.

• Hands-on experience with streaming data platforms.

• Solid understanding of data cleaning, transformation, and ETL processes.

• Experience with CI/CD tools and pipelines.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!