Staff AI/ML Platform Engineer — Scale ML to Edge & Cloud

Thornton Tomasetti; Alameda (CA); On-site; USD 114,000 - 228,000; Full time

Benefits offered by this job

Free medical coverage

Competitive retirement plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott, a global healthcare leader, is hiring a Staff AI/ML Platform Engineer to join the Lingo initiative in Alameda, CA. You will design and build a scalable platform to take ML models from experiment to production, across cloud and edge devices, with strong cross-functional collaboration.

You will integrate data lakes and ETL pipelines with ML infrastructure, enable data science and AI teams to ship reliably, and ensure security, privacy, and compliance in regulated environments.

Qualifications

• Bachelor’s degree in Engineering, Mathematics, Computer Science, or a related field.

Responsibilities

• Define the architecture and roadmap for the AI platform, feature store, training pipelines, model registry, deployment, and serving.
• Partner with the data engineering team to define the boundary between curated data and ML features and ensure lineage from raw sensor data to model output.
• Enable data scientists to self-serve training and deployment through templates, tooling, and documentation.
• Extend the existing CI/CD pipelines with model-specific stages, including automated testing, validation gates, and approval workflows aligned with design controls.
• Implement model monitoring for performance, data drift, and sensor data quality on the shared observability stack, with alerting and rollback.
• Build the pipeline for packaging and delivering models to mobile and wearable devices, in partnership with the on-device AI/ML engineer.
• Support deployment and monitoring of LLM and agentic services, including prompt and model versioning and evaluation runs.
• Own training and inference cost and ML tooling decisions; partner with DevOps and SRE on infrastructure capacity, scalability, and reliability.
• Ensure the ML platform meets security, privacy, and compliance requirements (HIPAA, GDPR) and produces audit-ready records.

Skills

Python

Containers

Infrastructure as Code

Cloud platforms

DevOps collaboration

Data lakes

ML monitoring

Edge deployment

LLM operations

Education

Bachelor’s degree in Engineering, Mathematics, Computer Science, or related field

Ph.D. or Master’s degree in Computer Science, ML or related field

Tools

Azure ML SDK

Azure Data Factory

Databricks

MLflow

Kubeflow

Docker

Kubernetes

Job description

Abbott, a global healthcare leader, is hiring a Staff AI/ML Platform Engineer to join the Lingo initiative in Alameda, CA. You will design and build a scalable platform to take ML models from experiment to production, across cloud and edge devices, with strong cross-functional collaboration.

You will integrate data lakes and ETL pipelines with ML infrastructure, enable data science and AI teams to ship reliably, and ensure security, privacy, and compliance in regulated environments.