CBRE
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Sr Data Scientist Generative AI
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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 recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).
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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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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 recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (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.
Plano, TX $125,900.00-$249,900.00 6 days ago Sr Manager, Data Science & AI Engineering
Plano, TX $165,700.00-$226,800.00 1 day ago Director of Data Science - Responsible AI (remote)
Irving, TX $200,000.00-$220,000.00 17 hours ago Director, Product Development and Data Science
Marketing Business Modeling - Applied AI ML Lead
Director, Risk, Data Science and Analytics
Risk Management - Wholesale Credit - Generative AI Data Scientist, Vice President
Senior Business Analyst with data analysis,business analysis,Agile methodology
Applications Development Sr Programmer Analyst - AVP
Irving, TX $107,120.00-$160,680.00 3 days ago Irving, TX $110,300.00-$183,800.00 1 week ago Senior Compliance Data Analyst, NAST S&C DAS
Dallas, TX $42,000.00-$79,800.00 2 weeks ago Senior Compliance Data Analyst, NAST S&C DAS
Dallas, TX $42,000.00-$79,800.00 2 weeks ago Enterprise Data Office Business Execution Senior Lead Analyst
Irving, TX $156,160.00-$234,240.00 6 days ago SAP - Analytics - Senior - Consulting - Location OPEN
Irving, TX $120,000.00-$150,000.00 3 weeks ago Sr. Staff Data Scientist, Machine Learning
Dallas, TX $190,000.00-$240,000.00 16 hours ago Dallas, TX $100,000.00-$145,000.00 12 hours ago Irving, TX $60,000.00-$80,000.00 4 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr