
Data & ML Engineer
EssilorLuxottica Group27 days ago
Mason, OH, USASenior
Responsibilities
- Design, develop, and operate large-scale data ingestion, transformation, and storage pipelines.
- Manage machine learning infrastructure, CI/CD, DevOps, and MLOps pipelines for model training and deployment.
- Design ETL/ELT workflows using Azure Data Factory and orchestration tools.
- Structure Lakehouse, Azure Data Lake, and Synapse environments for scalable analytics.
- Build reusable data pipelines and machine learning components.
- Manage platform performance, cost optimization, reliability, availability, security, governance, and regulatory compliance.
- Collaborate with Applied Data Scientists to productionize models.
- Implement monitoring, logging, alerting, automation, and infrastructure-as-code practices.
- Lead troubleshooting and root-cause analysis for data and ML pipeline issues.
- Guide solution design and mentor engineers on cloud-native, big data, and MLOps practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer, ML Engineer, or Platform Engineer.
- Strong hands-on experience with Azure cloud services and big data platforms.
- Proficiency in Python, SQL, Scala, and scripting languages.
- Strong experience building production-grade data pipelines.
- Ability to independently own and deliver complex data and ML engineering solutions end-to-end.
- Preferred: master’s degree in Computer Science, Engineering, or a related discipline.
- Preferred: experience with Azure Databricks, Spark, Synapse, MLflow, Docker, AKS, APIs, Azure Data Factory, Airflow, SAP CDC, enterprise data integration, and containerized ML workloads.
- Preferred: experience working in agile, fast-paced, cross-functional environments.
Benefits
- Benefits may include health care, retirement savings, paid time off/vacation, and employee discounts.
- A competitive bonus and/or commission plan may complement the total rewards package.
- Full-time position; employee pay is determined by geography, experience, qualifications, skills, and local minimum wage requirements.
- The position is not available for visa sponsorship or transfer, and candidates must be authorized to work in the United States.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksDockerGoogle Cloud PlatformKubernetesMLflowPythonScalaSQL
Categories
Data EngineeringML Engineering
About EssilorLuxottica Group
EssilorLuxottica designs, manufactures, and distributes ophthalmic lenses, frames, and sunglasses for consumers and eye‑care professionals through wholesale, retail chains, and e‑commerce. Its portfolio includes lens technologies such as Varilux, Crizal, Transitions, and fashion brands like Ray‑Ban, Oakley, Persol, and Oliver Peoples, plus retailers Sunglass Hut, LensCrafters, Vision Express, and Target Optical. Formed in 2018 from the merger of Essilor and Luxottica, the company is headquartered in Paris and publicly traded on Euronext Paris.