Senior MLOps Lead

JLL empowers you to shape a brighter way .Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.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 involves#JLLTechAmbitionsJLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. We are seeking 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, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of AI and data and we are just getting started on that journey!As a Senior AI Engineer, you will be responsible for designing, building, and maintaining AI models, algorithms, and systems that drive innovative products and services. You will collaborate with cross-functional teams to understand business requirements, propose and implement AI solutions, and contribute to shaping our organization's AI strategy. The ideal candidate should have a deep understanding of AI technologies, excellent programming skills, strong problem-solving abilities, and a passion for delivering cutting-edge AI solutions.As a Senior MLOps Lead at JLL Technologies, you will:As a Senior MLOps Lead, you will be responsible for designing, implementing, and maintaining robust ML pipelines and CI/CD workflows for ML/AI model deployments. You will lead the development of end-to-end ML solutions, from conception to production, ensuring scalability, reliability, and efficiency. The ideal candidate should have a deep understanding of MLOps practices, excellent software engineering skills, and have a proven track record of leading MLOps initiatives.Key Responsibilities :• Design and implement end-to-end ML pipelines, focusing on automation, reproducibility, and scalability• Develop and maintain CI/CD workflows for ML models, ensuring smooth integration and deployment processes• Implement MLOps best practices, including version control for data, models, and code• Create and optimize workflows for data preprocessing, model training, evaluation, and deployment• Manage ML artifacts in JFrog and support patterns to deploy models on AKS and EKS• Establish monitoring and logging systems for ML models in production• Develop and maintain infrastructure as code for ML environments• Implement and manage RAG (Retrieval-Augmented Generation) frameworks for enterprise-scale applications• Collaborate with data scientists and software engineers to streamline the transition from experimentation to production• Research and integrate new MLOps tools and practices to improve efficiency and reliability• Mentor junior engineers in MLOps practices and ML workflow optimizationRequirements :• Bachelor's or master's degree in computer science, Software Engineering, or related field• 10+ years of experience in software engineering, with at least 3+ years focused on ML/AI projects• Strong programming skills in Python, with experience in other languages like Node.js or Java• Extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn• Proficiency in containerization technologies (Docker, Kubernetes) and cloud platforms (Azure, AWS, GCP)• Proven experience with ML registry and experiment tracking frameworks (MLflow, Weights & Biases)• In-depth knowledge of feature stores and ML metadata management• Strong understanding of CI/CD principles and tools (Github, Github Actions, Argo CD)• Extensive experience with infrastructure as code (Terraform, Ansible)• Advanced knowledge of monitoring and observability tools for ML systemsPreferred Qualifications :• Experience with LLMOps is a plus• Experience of building Gen AI RAG frameworks (Langchain, or LLamaIndex)• Proven track record with ML model registries and model serving platforms• Extensive experience with ML-specific security and compliance considerations• Familiarity with vector database (Pinecone, or Faiss, or Weaviate)The ideal candidate will have a passion for creating efficient, scalable ML systems and the ability to bridge the gap between data science and ML engineering. They should be comfortable working in a fast-paced environment, continuously learning and adapting to new technologies in the rapidly evolving field of ML/AI and have a proven track record of leading complex MLOps initiatives.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 sights and imagine where JLL can take you...Apply today!Location:On-site –Chicago, IL If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:401(k) plan with matching company contributions

Comprehensive Medical, Dental & Vision Care

Paid parental leave at 100% of salary

Paid Time Off and Company Holidays

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here .This position may require you to be fully vaccinated against COVID-19. If required, you’ll be asked to provide proof that you’re fully vaccinated upon your start date. You’re considered fully vaccinated two weeks after you receive the second dose of a two-dose vaccine series (e.g., Pfizer or Moderna) or two weeks after a single-dose vaccine (e.g., Johnson & Johnson/Janssen). Failure to provide proof of vaccination may result in termination.Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –

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page > I want to work for JLL.Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and

responsibilities.

Only job-related convictions will be considered and will not automatically disqualify the candidate.Accepting applications on an ongoing basis until candidate identified.

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