Data & AI Engineer

Envision Employment Solutions is currently looking for a Data & AI Engineer  for one of our partners, a global leader in the chemical industry field.

Job Summary :

The Data & AI Engineer is responsible for designing, building, and maintaining the data infrastructure, pipelines, and AI solutions necessary to support the company's business needs. This role combines expertise in data engineering and applied AI to enable scalable data processing, advanced analytics, and machine learning capabilities. The engineer will work with large datasets, optimize data flows, and deliver AI-driven solutions that enhance decision-making and operational efficiency.

The ideal candidate brings extensive experience in data engineering and a strong technical background in data architecture and ETL processes. They demonstrate a deep understanding of data governance and best practices, with a proven ability to manage large-scale data environments. The candidate excels in collaboration, problem-solving, and driving continuous improvement in data engineering practices.

Responsibilities :

• Design, develop, and maintain data pipelines to support data integration, processing, and AI / ML workflows.
• Ensure data quality, integrity, and security across all data and AI systems.
• Develop and implement ETL processes to ingest data from diverse sources for analytics and machine learning.
• Optimize data storage, retrieval, and AI model serving for performance and scalability.
• Collaborate with data scientists and analysts to provide high-quality datasets, features, and infrastructure for analytics, reporting, and AI experimentation.
• Build, deploy, and maintain AI / ML models to solve business problems, automate processes, and enhance decision-making.
• Implement and maintain data governance, model governance, and MLOps best practices.
• Monitor and troubleshoot data pipelines, AI models, and ML workflows to ensure reliability, accuracy, and efficiency.
• Support data-driven and AI-driven initiatives by enabling timely access to trusted data and scalable AI solutions.
• Develop and maintain documentation for data processes, AI pipelines, and deployed models.
• Stay up to date with emerging data and AI technologies, tools, and industry best practices.
• Ensure compliance with data protection regulations, ethical AI principles, and internal policies.
• Provide training and support to stakeholders on data systems, AI capabilities, and best practices.
• Lead efforts to continuously improve data infrastructure, AI platforms, and automation processes.
• Collaborate with IT, business units, and functional teams to align data and AI initiatives with organizational goals.

Requirements

Skills :