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Senior MLOps Engineer – Digital Transformation

Truelogic

🌍 South America 🏠 Remote ⏱ Part-time 💼 Senior 🗓 1 weeks ago

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

A global technology and digital transformation firm that provides specialized software engineering and IT consulting services across diverse industries. They focus on delivering innovative, scalable solutions to help enterprise organizations navigate complex technological landscapes.

JOB SUMMARY

As a MLOps Engineer, you will bridge the gap between data science and production engineering by building, deploying, and optimizing scalable machine learning infrastructure. The ideal candidate is a Python expert with a deep understanding of the full ML lifecycle, capable of automating complex workflows and ensuring the reliability of enterprise-level models. You will be a key driver in implementing CI/CD best practices and robust monitoring systems to support high-impact machine learning initiatives in a remote-first, distributed engineering environment.

RESPONSIBILITIES

- Design and maintain robust ML deployment pipelines to ensure seamless model delivery.

- Automate model training, deployment, and monitoring workflows to increase operational efficiency.

- Co...

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