Prologis, Inc. is the global leader in logistics real estate. In partnership with our customers and our communities, we develop modern, high-quality properties that set the standard for innovative building design and sustainability. Prologis owns or has investments in properties and development projects of 1.2 billion square feet in 19 countries and enables 2.8% of the world's GDP. We have committed to achieve net zero emissions by 2040. Beyond real estate, our Essentials platform optimizes the company's global asset portfolio to provide our customers solutions that address today's warehouse and shipping challenges. Prologis Ventures invests in logistics innovation and technology companies to modernize supply chains worldwide.

Job Title: Senior Artificial Intelligence / Machine Learning Engineer

Company:

Prologis

A day in the life

Are you passionate about deploying AI to revolutionize industrial real estate operations and decision-making processes? If you are excited about being a key player in AI integration within a dynamic, fast-paced sector, this opportunity is for you. Join our team at Prologis and contribute to reshaping the future of real estate using cutting-edge AI technologies and advanced analytics solutions.

Key responsibilities include: Design and develop scalable AI/ML solutions, ensuring the architecture is optimized for large-scale deployments. Engage in the entire lifecycle of AI/ML product development, including research, prototyping and deployment. Utilize expertise in generative AI technologies to identify and integrate AI tools and techniques into core business areas and customer experiences. Analyze complex business challenges using data-driven insights. Work collaboratively with business stakeholders, project teams, and IT to develop a thorough understanding of AI/ML applications and use cases. Communicate effectively, translating complex technical details into understandable concepts for non-technical stakeholders. Be hands-on in evaluating use cases, building prototypes, and enhancing analytics capabilities. Focus on utilizing, rather than training, large language models (LLMs). Stay updated with emerging trends and developments in the data science and AI fields. Implement rigorous quality assurance processes to ensure the accuracy and reliability of AI-driven solutions. Work effectively with offshore teams to coordinate and integrate AI/ML developments. Enable and mentor development teams in AI/ML techniques.

Building blocks for success

Required: Minimum of 5+ years of professional experience in Data & Analytics. Strong practical experience with data science methods applied to large and diverse datasets. Proficiency in SQL and programming languages such as Python and R. Advanced proficiency with AWS cloud services such as EC2, S3, Lambda and EKS. Experience in implementing CI/CD pipelines and IaC practices using Terraform preferred. Experience with machine learning algorithms and their application in real-world scenarios, with a focus on developing and tuning models that can scale. Experience in establishing and operating within MLOps frameworks. Demonstrated ability to implement data services across an organization. Deep understanding of AI, Large Language Models (LLMs), and prompt engineering techniques such as Chain-of-Thought (CoT) prompting. Experience with embedding strategies and working with vector databases. Proven ability to deliver AI products that have added value to business operations.

Preferred: Bachelor's degree (or relevant equivalent experience) preferred Experience with Dataiku strongly preferred. Excellent analytical and communication skills, capable of collaborating effectively across diverse teams and explaining complex technical concepts in a clear and accessible manner. Self-starter with the ability to work on complex projects with minimal supervision.

Hiring Salary Range of: $111,000-$1 8,000. Salary and whole compensation package (bonus target) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-KR1 People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards