CDM Smith is seeking an Artificial Intelligence/Machine Learning Engineer to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in AI/ML engineering capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping, and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company.

Key Responsibilities:
• Contributes to advanced analytics and uses artificial intelligence (AI) and machine learning (ML) solution techniques that address complex business challenges, particularly within the AEC domain.
• Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases.
• Analyzes large datasets to identify patterns and trends.
• Participates in the testing and validation of AI model accuracy and reliability to ensure models perform in line with business requirements and expectations.
• Assist with AI/ML workflows optimization by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control.
• Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions.
• Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith.
• Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business.
• Performs other duties as required.

Skills and Abilities:
• Good understanding of the software development life cycle.
• Basic experience with building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Basic experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks.
• Basic experience with programming languages (ex: R, Python, Scala, etc.).
• Knowledge of MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management.
• Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards.
• Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively.
• Strong critical thinking skills to generate innovative solutions and improve business processes.
• Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Detail oriented with the ability to assist with executing highly complex or specialized projects.