puestos de Kubernetes en United States

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As a Senior MLOps Engineer, you will play a crucial role in enabling applied AI. Your main focus will be on designing, building, and maintaining a secure, scalable, and efficient ML Platform with a platform-as-a-product mindset. This platform automates the end-to-end lifecycle for traditional ML models and LLM models, as part of the Cloud Platforms Engineering (CPE) directorate. CPE’s mission is to enable our engineering teams to ship value faster, securely, efficiently, and reliably.

1. Design and implement robust MLOps and LLMOps pipelines to automate and optimize machine learning model training, testing, deployment, and scaling.
2. Collaborate with data scientists and software engineers to ensure operational criteria are met before deployment.
3. Maintain and enhance continuous integration (CI) and continuous deployment (CD) environments for machine learning systems.
4. Develop tools to improve visibility into system operations and facilitate rapid troubleshooting and debugging.
5. Foster a culture of continuous improvement by incorporating feedback and lessons learned into future ML deployments.
6. Lead initiatives to increase the resilience and scalability of ML systems.

1. Bachelor’s degree in computer science, engineering, statistics, or a related field.
2. At least 3 years of experience in software development or data engineering, focusing on MLOps or similar roles.
3. Proven experience in designing and deploying scalable machine learning systems in production.
4. Strong programming skills in Python and familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, Kubeflow, Jupyter, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink).
5. Expertise in containerization technologies (e.g., Docker, Kubernetes) and automation tools (e.g., Jenkins, GitLab CI).
6. Excellent problem-solving skills and ability to work independently or as part of a team.

1. Experience with data governance and compliance with data security regulations.
2. Familiarity with performance tuning of big data technologies.

Our culture emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern, flexible work environment that supports professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:

• Competitive salary, variable compensation, and equity
• Paid parental leave, including adoptive leave
• Generous paid time off
• Family Formation benefit offered by Carrot
• Wellness programs and benefits from Modern Health
• Paid volunteer time off and donation matching
• Opportunities for personal growth and professional development
• An open, collaborative environment where your contributions are valued
• Impactful experience at a growing public company
• Open offices with stocked kitchens