Data & AI Engineer
Job Description
Envision Employment Solutions is seeking a Data & AI Engineer to join one of their partners, a global leader in the chemical industry. This role combines expertise in data engineering and applied AI to enable scalable data processing, advanced analytics, and machine learning capabilities. The position requires designing, building, and maintaining data infrastructure, pipelines, and AI solutions to support business needs.
The ideal candidate will bring 5+ years of experience in data engineering and 2+ years in AI engineering, with a strong technical background in data architecture and ETL processes. They should demonstrate expertise in programming languages like Python, Java, and SQL, as well as AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Key responsibilities include developing data pipelines, ensuring data quality and security, implementing ETL processes, and building/deploying AI/ML models. The role requires strong problem-solving abilities, excellent communication skills, and the ability to work effectively with cross-functional teams.
The position offers an opportunity to work with cutting-edge technologies in the chemical industry, focusing on data-driven and AI-driven initiatives. The successful candidate will play a crucial role in enabling scalable AI solutions and enhancing decision-making processes through data engineering and artificial intelligence.
Working in New Cairo City, Egypt, this full-time position requires someone who can maintain high standards of data governance, stay current with emerging technologies, and drive continuous improvement in data engineering practices. The role combines technical expertise with business acumen, making it an excellent opportunity for a senior-level data professional looking to make an impact in the chemical industry.
Responsibilities For Data & AI Engineer
- 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
- Optimize data storage, retrieval, and AI model serving for performance and scalability
- Build, deploy, and maintain AI/ML models
- Implement and maintain data governance, model governance, and MLOps best practices
- Monitor and troubleshoot data pipelines, AI models, and ML workflows
- Develop and maintain documentation for data processes
- Provide training and support to stakeholders
- Lead efforts to continuously improve data infrastructure
Requirements For Data & AI Engineer
- Bachelor's degree in computer science, Information Technology, Data Science, or related field
- 5+ years in data engineering, 2+ years in AI engineering
- Experience in developing and implementing ETL processes
- Strong background in data architecture and Azure technologies
- In-depth knowledge of data governance and data quality management principles
- Excellent written and verbal English language proficiency
- Proficiency in programming languages (Python, Java, SQL)
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Strong problem-solving and analytical skills
- Strong communication and interpersonal skills
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