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Jobs/Machine Learning Engineer Role/Truelogic - Senior MLOps Engineer – Digital Transformation (Mexico Only)
Truelogic

Truelogic - Senior MLOps Engineer – Digital Transformation (Mexico Only)

Remote - Mexico3w ago
RemoteSeniorLATAMCloud ComputingArtificial IntelligenceMachine Learning EngineerSenior DevOps EngineerPythonMLOpsDockerKubernetesAWS

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Requirements

• Residency and work authorization in Mexico. (Any city) • Mexico • Extensive experience as an MLOps Engineer or Machine Learning Engineer within production environments. • MLOps Engineer • Machine Learning Engineer • Advanced proficiency in Python. • Python • Proven track record deploying, monitoring, and maintaining ML models at scale. • Hands-on experience with Docker and Kubernetes for containerization and orchestration. • Docker • Kubernetes • Strong expertise in cloud platforms such as AWS, Azure, or GCP. • Azure • Deep understanding of model governance and the end-to-end ML lifecycle. • Experience with CI/CD pipelines for machine learning workflows is required. • CI/CD • Proficiency with ML orchestration tools such as Kubeflow, Airflow, or MLFlow is highly preferred. • Kubeflow • Airflow • MLFlow • Experience with Infrastructure as Code (IaC) using Terraform is preferred. • Terraform • Familiarity with monitoring and observability tools in a distributed environment is a plus. • Experience with LLMOps or GenAI pipelines is a significant plus. • LLMOps • GenAI • 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. • Databricks • SageMaker • Vertex AI

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

Benefits

• 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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