Staff AI Platform Engineer | Data & MLOps Leader

Pretzels, Inc; Hershey (PA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health & Wellbeing

Financial Security

Time Off & Flexibility

Growth & Development

Job summary

The Hershey Company is seeking a Staff Data Engineer to lead and scale an enterprise AI platform across Databricks and Azure ML. You will collaborate with data scientists, security, and governance teams to deliver secure, self-service AI capabilities for manufacturing, supply chain, and quality use cases.

You will drive automation, governance, and cost-efficient compute while building reusable pipelines and trusted model workflows.

Qualifications

• 3-5+ years of relevant experience in platform engineering, AI engineering, ML engineering, data engineering, DevOps, or related technical disciplines, aligned to Hershey Level 50 requirements.
• Hands-on experience with Databricks, Azure ML, AWS SageMaker, or comparable enterprise AI/ML platforms.
• Experience implementing MLOps practices including CI/CD, model deployment, monitoring, automation, and lifecycle management.
• Knowledge of cloud infrastructure, Kubernetes, distributed computing, infrastructure-as-code, and platform automation.
• Experience with data governance, security controls, RBAC, audit logging, metadata management, and compliance processes.

Responsibilities

• Own and evolve the AI platform roadmap across Databricks, Azure ML, and related technologies, prioritizing enhancements based on business needs, adoption metrics, and user feedback.
• Pilot, evaluate, and operationalize new AI platform capabilities, making recommendations on enterprise adoption and standardization.
• Build and maintain governed, scalable AI infrastructure including compute environments, deployment pipelines, monitoring solutions, feature stores, and AI services.
• Design and implement "paved road" solutions that provide secure, compliant, and repeatable workflows for AI and machine learning development.
• Embed AI Trust, Risk, and Security Management (AI TRiSM) practices into platform processes, including monitoring, auditability, access controls, and model governance.
• Develop self-service experiences that enable teams to discover approved models, datasets, templates, tools, and AI services.
• Optimize platform performance and cloud spending through FinOps practices, automation, usage analytics, and resource management.
• Partner with Data Governance, Security, Infrastructure, and Analytics teams to ensure platform capabilities support enterprise standards.
• Support AI initiatives focused on manufacturing and supply chain challenges including predictive maintenance, demand forecasting, anomaly detection, and quality optimization.
• Foster AI adoption through communities of practice, champion networks, training, and continuous feedback loops.

Skills

Platform engineering

AI engineering

ML engineering

Data engineering

DevOps

SRE

Python

SQL

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field

Tools

Databricks

Azure ML

AWS SageMaker

Kubernetes

CI/CD

Git

Python

SQL

Job description

The Hershey Company is seeking a Staff Data Engineer to lead and scale an enterprise AI platform across Databricks and Azure ML. You will collaborate with data scientists, security, and governance teams to deliver secure, self-service AI capabilities for manufacturing, supply chain, and quality use cases.

You will drive automation, governance, and cost-efficient compute while building reusable pipelines and trusted model workflows.