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Develop and maintain end-to-end software solutions to support our CRE Investment Business, leveraging your expertise in full stack development methodologies.
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Collaborate with cross-functional teams, including data scientists, designers, product managers and business, to build and implement AI-driven features and functionalities into our technology products.
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Design and implement RESTful APIs, microservices, and cloud-based solutions for scalability and reliability.
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Integrate machine learning models into backend services to solve complex business problems and enable predictive analytics.
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Ensure high code quality and efficiency by writing clean, maintainable, and testable code.
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Work in an agile development environment, with sprint planning, daily stand-ups, and code reviews.
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Work on critical features that help enhance system security – including recommendations from static code scan, Dynamic Application Security Testing and Penetration testing results.
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Perform and participate in peer review sessions.
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Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
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Proven experience in full stack software development, with expertise in both front-end and back-end technologies (e.g., JavaScript, HTML/CSS, Python, NodeJS, C#, Java).
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Strong knowledge and practical experience in AI technologies, such as machine learning, natural language processing (NLP), and computer vision.
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Familiarity with AI frameworks and libraries, including OpenAI, PyTorch, or Keras.
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Experience in developing and deploying scalable cloud-based applications using platforms like AWS, Azure, or Google Cloud.
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Solid understanding of database concepts, specifically SQL and NoSQL databases.
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Proficiency in working with version control systems (e.g., Git) and DevOps pipelines.
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Excellent problem-solving skills and ability to learn new technologies quickly.
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Strong communication and collaboration skills.
Contact Detail:
Jones Lang Lasalle Recruiting Team
+442074934933