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AI​/ML Lead Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: CBRE
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

AI/ML Lead Engineer

Job

237753

Posted

24-Sep-2025

Service line

Corporate Segment

Role type

Full-time

Areas of Interest

Digital & Technology/Information Technology

Location(s)

Dallas - Texas - United States of America, Richardson - Texas - United States of America

About The Role:

Are you ready to shape the future of enterprise intelligence through pioneering AI/ML solutions? We’re seeking a AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve sophisticated business problems. This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies.

What You'll Do:

  • Business Analytics & Intelligence:
    Analyze large datasets to uncover trends, patterns, and insights using statistical and machine learning techniques.

  • Model Engineering:
    Design, train, and deploy ML models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization.

  • Generative & Agentic AI:
    Build and operationalize generative AI and agentic frameworks using RAG pipelines, vector databases, and prompt chaining.

  • Conversational AI Development:
    Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using LLMs, transformers, and knowledge graphs.

  • Knowledge Graph Integration:
    Leverage semantic modeling and graph databases to enhance contextual understanding and retrieval in AI systems.

  • Enterprise Fine-Tuning:
    Apply domain-specific fine-tuning techniques (DPO, ORPO, SPIN) to align LLMs with enterprise knowledge and workflows.

  • AI Infrastructure:
    Develop robust ML pipelines using AI/ML Ops tools

  • Risk Mitigation:
    Identify and address risks in AI/ML systems including bias, drift, and adversarial vulnerabilities. Implement safeguards and monitoring strategies.

  • Multi-functional

    Collaboration:

    Work with data scientists, engineers, and business collaborators to align AI solutions with strategic goals.

  • Collaborator Involvement:
    Present captivating demonstrations and recommendations to business collaborators, translating technical insights into strategic suggestions.

  • Research & Innovation:
    Stay ahead of the curve by exploring emerging trends in AI safety, interpretability, and bias mitigation.

What You'll Need:

  • To perform this job optimally, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

  • 5+ years of experience in AI/ML engineering, with a solid base in Python

  • Proficient in ML libraries & toolkits, predictive modeling, pattern recognition, analytics, etc.

  • Proven experience with LLMs, NLP, and generative AI frameworks

  • Understanding of neural network architectures including CNNs, RNNs, transformers, and attention mechanisms.

  • Expertise in knowledge graph construction and integration with conversational systems.

  • Familiarity with

    MLOps, model lifecycle management, and secure data governance practices.

  • Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker/Kubernetes), and CI/CD pipelines.

  • Strong communication and leadership skills to drive multi-functional initiatives and present to executive audiences.

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 chart your own course and realize your potential. We welcome all applicants.

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.

Applicant AI Use Disclosure

We value human…

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