Senior MLOps Engineer – Digital Transformation (DR) at Truelogic

You are a senior engineer with significant experience bridging data science and production environments by building scalable machine learning infrastructure. Yo

Work type: remote

Location: Santo Domingo

Type: Full-time

Summary

You are a senior engineer with significant experience bridging data science and production environments by building scalable machine learning infrastructure. You have a deep technical background in Python and cloud-based model orchestration within enterprise settings. **What makes it worth a look...** Truelogic offers a fully remote role with highly competitive USD compensation for staff working across Latin America. This position allows you to manage your own schedule while collaborating on high-impact projects for major U.S. clients. **You might be a good fit if you...** * Possess advanced Python proficiency and proven experience deploying models at scale. * Use Docker and Kubernetes for containerization and infrastructure orchestration. * Have direct experience with AWS, Azure, or GCP cloud platforms. * Implement CI/CD pipelines specifically for machine learning workflows.

Job Description

# 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.

• Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments.

• Optimize cloud-based infrastructure to enhance the scalability and reliability of ML systems.

• Implement CI/CD best practices specifically tailored for machine learning lifecycles.

• Monitor production systems and proactively troubleshoot performance or governance issues.

• Extensive experience as an MLOps Engineer or Machine Learning Engineer within production environments.

• Advanced proficiency in Python.

• Proven track record deploying, monitoring, and maintaining ML models at scale.

• Hands-on experience with Docker and Kubernetes for containerization and orchestration.

• Strong expertise in cloud platforms such as AWS, Azure, or GCP.

• Deep understanding of model governance and the end-to-end ML lifecycle.

• Experience with CI/CD pipelines for machine learning workflows is required.

• Proficiency with ML orchestration tools such as Kubeflow, Airflow, or MLFlow is highly preferred.

• Experience with Infrastructure as Code (IaC) using Terraform is preferred.

• Familiarity with monitoring and observability tools in a distributed environment is a plus.

• Experience with LLMOps or GenAI pipelines is a significant plus.

• Background working with enterprise-scale infrastructure or within regulated, high-compliance environments is a plus.

• Familiarity with managed platforms like Databricks, SageMaker, or Vertex AI is preferred.

• 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.

• 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.

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