Job description

Join to apply for the Sr Data Scientist Generative AI role at CBRE Join to apply for the Sr Data Scientist Generative AI role at CBRE Dallas - Texas - United States of America About The Role As a Senior Data Scientist specializing in Generative AI (Gen AI), you will be at the forefront of designing, developing, and deploying innovative Gen AI solutions. This role emphasizes deep technical expertise and innovation, with a focus on building scalable models and systems that deliver measurable business impact. You will partner with various teams to discover opportunities, prototype solutions, and drive adoption of Gen AI technologies across the organization. What You'll Do Design and implement Gen AI models using state-of-the-art architectures and platforms such as CrewAI , LangStudio , Google SDK, and transformer-based frameworks. Fine-tune large language models (LLMs) and other Gen AI models for a variety of domain-specific use cases, optimizing for performance, relevance, and safety. Conduct research and experimentation to evaluate new Gen AI techniques and their applicability to business problems. Develop scalable pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with data engineers to ensure robust and efficient data infrastructure. Analyze model outputs and performance metrics to continuously improve accuracy, relevance, and efficiency. Create reusable components and frameworks to accelerate Gen AI development across teams. Keep informed about Gen AI advancements and contribute to internal innovation efforts. Present technical findings and recommendations to both technical and non-technical stakeholders. What You'll Need Bachelors or Masters degree in Computer Science, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML, with at least 2 years focused on Gen AI or LLMs. Strong proficiency in Python and experience with Gen AI frameworks (e.g., Hugging Face, LangChain , OpenAI API, PyTorch ). Deep understanding of NLP, deep learning, and generative modeling techniques. Experience with model evaluation, prompt engineering, and fine-tuning. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices. Excellent problem-solving skills and ability to work independently on sophisticated technical challenges. Strong communication skills to explain technical concepts and influence adoption. Preferred Qualifications Experience with retrieval-augmented generation (RAG), vector databases, and embedding models. Contributions to open-source Gen AI projects or published research. Experience with multimodal models (e.g., image + text). Knowledge of data privacy and responsible AI practices. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values respect, integrity, service and excellence and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to realize your full potential. Our Values in Hiring At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications. Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our companys success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at View email address on click.appcast.io or via telephone at View phone number on click.appcast.io (U.S.) and View phone number on click.appcast.io (Canada). Service line: Corporate Segment Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Referrals increase your chances of interviewing at CBRE by 2x Sign in to set job alerts for Senior Data Scientist roles. 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