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Graduates Data Engineer & Backend Developer
Salary undisclosed
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We are looking for a software engineer to join our team in developing AI models for applications in the oil and gas sector. In this role, you will be building scalable backend systems and developing solutions that drive our AI and ML applications. If you are keen on gaining industry experience, applying your engineering knowledge with a global energy player and being at the forefront of deep and emerging AI applications, AIngineer is the right place. • Design, develop, and maintain backend systems to support data-driven AI applications. • Collaborate with the data science team to build efficient, scalable data pipelines. • Develop APIs and microservices for AI/ML models, ensuring reliable integration and performance. • Optimize backend performance for scalability, security, and reliability. • Work on cloud-based services to manage data flow and deploy backend solutions. Who We’re Looking For: • BS/BE/MDataSc in Computer Science/Computer Engineering, Data Science/ Programming/Software Engineering/Software Information Systems or related field. Penultimate and final-year students are also encouraged to apply. • Programming skills in Python, Java, or similar languages • Proficiency in front-end technologies such as HTML5, CSS, JQuery, JS, etc • Knowledge of REST APIs and webservices • Knowledge of Relational Databases (MySQL, PostgreSQL, SQL Server) and SQL language • Strong problem-solving and analytical skills • Eagerness to apply your knowledge in data engineering, APIs, and cloud services • Detail-oriented with an ability to troubleshoot and optimize code • Passionate and self-motivated learner with a determination to succeed Preferred Skills: • Prior experience through internships or final-year projects related to ETL pipelines • Familiarity with big data (structured and unstructured), data generation, storage, transformation and serving. • [BONUS] Knowledge of cloud platforms (AWS, Google Cloud) for AI model deployment • [BONUS] Familiar or experienced with ETL frameworks, AI Applications Lifecycle, API integrations, data engineering frameworks or data management for cloud What We Offer: • Flexible working hours (both full-time or part-time available) with fully remote or hybrid work arrangements. • Practical experience in developing AI and ML applications with tangible business impact.