Principal AI/ML Engineer — Hybrid MLOps & Cloud Native

Analog Devices, Inc.; Boston (MA); Hybrid; USD 230,475 - 300,000; Full time

Benefits offered by this job

Partial telecommute (3 days/week WFH)

Medical, vision and dental coverage

401k

Paid vacation, holidays and sick time

Job summary

Analog Devices, Inc. in Boston is seeking a Principal Engineer to design, build, and maintain robust MLOps software systems for production-grade AI/ML workloads.

You will deploy, monitor, and optimize ML pipelines on cloud-native platforms, collaborating with data scientists and software engineers, and driving automation with Terraform, Docker, Kubernetes, and CI/CD in a multi-cloud environment. Partial telecommute is available (3 days/week).

Qualifications

• End-to-end ML pipelines including data ingestion, preprocessing, model training, validation and deployment.
• Experience tracking experiments and model lifecycle with MLflow or CometML.
• Leadership of production ML platforms and pipelines with a small cross-functional team.
• Cloud-based scalable architectures with multi-cloud (AWS, GCP, Azure) and automation (Terraform).
• Containerization, orchestration with Docker/Kubernetes; CI/CD and IaC.

Responsibilities

• Design, build, and maintain robust MLOps software systems for production AI/ML workloads.
• Deploy, test, and monitor AI/ML models on cloud-native platforms and ensure production readiness.
• Develop ETL pipelines, automated workflows, and scalable data stores.
• Collaborate with data scientists and software engineers across stakeholders.
• Guide technology roadmap and evaluate emerging tools and technologies.

Skills

MLOps practices

Cross-functional leadership

Agile development

Experiment tracking

Education

Bachelor’s degree in Computer Science / Information Technology or related field

Master’s degree in Computer Science / Information Technology or related field

Tools

Docker

Kubernetes

Terraform

MLflow

Kubeflow

TensorFlow

PyTorch

Apache Airflow

Apache Kafka

Job description

Analog Devices, Inc. in Boston is seeking a Principal Engineer to design, build, and maintain robust MLOps software systems for production-grade AI/ML workloads.

You will deploy, monitor, and optimize ML pipelines on cloud-native platforms, collaborating with data scientists and software engineers, and driving automation with Terraform, Docker, Kubernetes, and CI/CD in a multi-cloud environment. Partial telecommute is available (3 days/week).