Lead AI/MLOps Engineer: Scale Production ML Pipelines

Upstaff LTD; United States; À distance; USD 140 000 - 190 000; Plein temps

Résumé du poste

Upstaff LTD is seeking a Senior AI/MLOps Engineer to lead the development and operation of scalable ML infrastructure and production ML systems.

Focus areas include designing and improving ML pipelines, supporting real-time and batch inference, and ensuring reliable deployment. You will mentor engineers and establish best practices while collaborating with Data Science and engineering teams.

Qualifications

• Senior-level experience in AI/ML engineering, MLOps, or related field.
• Strong experience designing and operating production machine learning systems.
• Solid understanding of ML pipelines, model deployment, and production inference.
• Strong programming skills in Python and SQL.
• Experience with cloud infrastructure, preferably AWS.
• Experience with Kubernetes and containerized environments.
• Experience with MLflow and workflow orchestration tools such as Airflow or Dagster.
• Understanding of streaming and data-processing technologies such as Kafka.
• Strong communication and collaboration skills.
• Ability to provide technical leadership, mentor engineers, and drive engineering best practices.

Responsabilités

• Provide technical leadership and mentorship to Machine Learning Engineers.
• Design, architect, and oversee complex machine learning pipelines and production ML infrastructure.
• Develop and maintain systems supporting both real-time and batch inference.
• Collaborate with Data Science teams to deploy, monitor, and optimize machine learning models in production.
• Improve the performance, scalability, reliability, and maintainability of ML systems.
• Establish and promote best practices across software development, DevOps, and MLOps.
• Conduct code reviews and provide technical guidance to engineering teams.
• Evaluate and integrate new technologies and tools into the ML infrastructure.
• Work with technical and non-technical stakeholders to translate complex ML concepts into practical solutions.
• Contribute to the long-term technical direction of machine learning platforms and infrastructure.

Connaissances

Python

SQL

MLOps

Leadership

Mentoring

Code reviews

Outils

MLflow

Airflow

Dagster

Kafka

Kubernetes

AWS

Description du poste

Upstaff LTD is seeking a Senior AI/MLOps Engineer to lead the development and operation of scalable ML infrastructure and production ML systems.

Focus areas include designing and improving ML pipelines, supporting real-time and batch inference, and ensuring reliable deployment. You will mentor engineers and establish best practices while collaborating with Data Science and engineering teams.