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.
Requirements
- 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.
Nice to Have
- 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.
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.
Work Arrangement
Remote (Worldwide)
Team
Team size: 600+. Structure: 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.
Additional Information
- 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.
