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JLL

AI Data Engineer

JLL, Chicago, Illinois, United States, 60290


About JLL and JLL TechnologiesJLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities.JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.

What this job involvesJLL Technologies Enterprise Data team is a newly established central organization that oversees JLL's data strategy. We are seeking a highly skilled and experienced Senior AI Engineer to join our team and lead the development and implementation of artificial intelligence solutions across our various data platforms. You will work with our colleagues at JLL around the globe in providing solutions, developing new products, and building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of AI and data.

As a Senior AI Engineer at JLL Technologies, you will:Conceptualize, design, and implement AI models, algorithms, and systems to solve complex business problems.Research and stay up to date with the latest AI technologies and techniques, recommending and implementing their application as appropriate.Collaborate with creative technology leaders and cross-functional teams to test the feasibility of new ideas, help refine and validate client requirements, and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.Research and explore new products, platforms, frameworks, emerging trends, and techniques in the field of generative AI to stay at the forefront of innovation.Design and optimize Gen-AI Apps for efficient data processing and model leverage.Implement LLM Ops processes, and manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation.Design and develop RAG framework as enterprise capability in an optimized manner which can cater to a variety of use cases to deploy their needs.Optimize and fine-tune AI models for improved accuracy, efficiency, and scalability.Develop testing and validation methodologies to ensure the quality and performance of AI models and systems.Continuously monitor and evaluate the performance of AI models, identifying opportunities for improvement and implementing necessary enhancements.Maintain documentation of AI models, algorithms, and systems, ensuring comprehensive and up-to-date records.Provide technical guidance and mentoring to Engineers, fostering their growth and development.Collaborate with stakeholders to define and refine the organization's AI strategy and roadmap.Stay informed about industry trends, emerging technologies, and best practices related to AI engineering.

What we are looking for:Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. in AI or Machine Learning is a plus.Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with at least 5 years of industry experience.Strong programming skills in languages such as Python, Java, or C++.Deep understanding of AI methodologies, algorithms, and frameworks, such as deep learning, reinforcement learning, and natural language processing.Experience with AI model development and deployment using platforms such as TensorFlow, PyTorch, or Keras.Deep experience and expertise in Cloud Gen-AI platforms, services, and APIs, including Azure Open AI, AWS Bedrock, and/or GCP Vertex AI.Hands-on experience working with Enterprise RAG technologies and solutions/frameworks - including Lang Chain, Llama Index, etc.Hands-on experience with developing end-to-end RAG Pipelines. Solid hands-on experience with Agent-driven Gen-AI architectures and solutions.Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc.Experience with vector databases like Pinecone, Croma, Azure AI Search, AWS Kendra, FAISS, Milvus etc.Solid understanding of software engineering principles and best practices, including version control, testing, and deployment.Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud, for AI model deployment and scalability.Excellent problem-solving skills and ability to think creatively to design innovative AI solutions.Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams.Proactive and self-motivated, with a strong drive for continuous learning and staying current with emerging AI technologies.

Preferred Qualifications:Published research papers or contributions to open-source AI projects.Experience working with real estate or related industries.Understanding of data privacy and security principles in AI applications.

What you can expect from us:You'll join an entrepreneurial, inclusive culture. One where we succeed together - across the desk and around the globe. Where like-minded people work naturally together to achieve great things.Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits, and pay.Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sight and imagine where JLL can take you...

Apply today!

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