[Hiring] OT Artificial Intelligence Data Engineer @S3 Int

Role Description

We are seeking an OT Artificial Intelligence Data Engineer to design, build and operate trusted data pipelines and data products that enable AI solutions in industrial environments. This role transforms high-volume operational, engineering, inspection and contextual data into secure, reliable and AI-ready datasets for computer vision, predictive analytics, generative AI, agentic systems and physical AI.

This position is part of an industrial AI team and provides hands-on data engineering leadership and delivery support for operational technology (OT) AI use cases. The role develops reusable ingestion, transformation, contextualization and serving patterns that connect industrial data sources with AI development, training, validation and inference workflows across edge, on-premises and cloud environments.

The team is highly technical, creative and cross-functional. The Data Engineer will work with industrial domain experts, data scientists, AI engineers, solution architects, cybersecurity teams and operations personnel to make industrial data discoverable, understandable, governed and fit for AI.

Success means shortening the path from raw OT data to dependable AI outcomes without compromising safety, cybersecurity, data integrity or operational reliability.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems or a related field, or equivalent experience.
• Five or more years of experience building and supporting production data pipelines, data platforms or data products.
• Strong programming skills in Python and SQL, including testing, debugging, performance optimization and maintainable software engineering practices.
• Experience with batch and streaming data integration, APIs, message brokers, event processing and structured and unstructured data.
• Experience implementing data quality, schema management, lineage, metadata, observability and automated pipeline monitoring.
• Experience preparing, curating and versioning training, validation and inference datasets for machine learning or AI workloads.
• Working knowledge of industrial data sources such as process historians, automation systems, sensors, alarms, engineering data, maintenance data, images or video.
• Understanding of OT cybersecurity, network segmentation, least-privilege access and secure data movement across industrial environments.
• Experience with cloud and hybrid data services, containerized workloads, source control, CI/CD and infrastructure or configuration automation.
• Ability to translate data needs among operations personnel, OT engineers, data scientists, AI engineers, architects and cybersecurity reviewers.
• Demonstrated ownership of reliable production data services, including troubleshooting, incident response, documentation and continuous improvement.

Requirements

• Master's degree in Computer Science, Data Engineering, Artificial Intelligence or a related field.
• Experience with Microsoft Azure data and AI services, Microsoft Fabric, Azure Data Lake Storage, Azure Databricks or equivalent platforms.
• Experience with industrial connectivity and data technologies such as OPC UA, MQTT, historians, edge gateways or industrial IoT platforms.
• Experience with time-series, lakehouse, graph, vector or geospatial data stores and selecting the right storage pattern for an AI use case.
• Experience with semantic models, knowledge graphs, digital twins, asset hierarchies or industrial data contextualization.
• Experience engineering image and video datasets for computer vision, including annotation, augmentation, quality review and large-file handling.
• Experience with feature stores, vector databases, retrieval-augmented generation data pipelines or multimodal AI data preparation.
• Experience deploying data processing at the edge in constrained, intermittently connected or disconnected environments.
• Familiarity with MLOps, model monitoring and the relationship between data drift, model performance and retraining.
• Experience in industrial environments, including energy, manufacturing or other asset-intensive industries, and comfort working directly with asset and operations personnel.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Flexible working hours and remote work options.
• Professional development opportunities and training programs.

Company Description

We are a leader in industrial AI solutions, committed to transforming operational technology through innovative data engineering and AI applications.