Intermediate Artificial Intelligence Machine Learning Developer

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Job Description

Job Description:

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 & AI Technology group within the Digital Engineering Solutions team, helping to support Architecture, Engineering and Construction (AEC) initiatives using modern AI/ML technologies and advanced analytics to deliver intelligent solutions and business insights for AEC professionals and client outcomes.

The Data & AI Technology group helps lead the firm in AEC-focused Business Intelligence and data services by developing scalable data platforms and AI-driven capabilities that support analytics, automation, and decision intelligence. The team utilizes advanced analytics, data science, and AI/ML to provide innovative solutions that give our business and products a competitive advantage. It includes understanding and managing data pipelines and developing AI/ML capabilities that integrate with enterprise analytics and digital solutions.

This position is for a person who has demonstrated strong foundational AI/ML engineering capabilities, is experienced with machine learning technologies and processes, and enjoys framing technical problems, contributing to AI/ML solutions, and supporting their implementation. As a member of the Digital Engineering Solutions team, the Data & AI Technology group will also participate in research and development and support AEC practices at CDM Smith through experimentation, testing, and the incubation of AI-driven solutions across the organization.

Key Responsibilities

• Develop and deploy machine learning models and AI solutions that address business challenges, particularly within the AEC domain.
• Build scalable AI/ML pipelines including data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
• Collaborate with Data Engineers, Data Scientists, and Analytics Engineers to support end-to-end AI/ML solutions.
• Ensure deployed models are reliable, maintainable, and scalable while supporting optimization of their performance in production environments.
• Develop APIs or microservices to integrate AI/ML models into digital solutions.
• Support MLOps practices including model versioning, automated pipelines, and monitoring.
• Apply modern machine learning techniques such as natural language processing, computer vision, and predictive analytics to relevant use cases.
• Ensure adherence to data privacy, security, and ethical AI standards throughout the lifecycle of AI/ML solutions.
• Stay abreast of the latest developments and advancements, including emerging technologies, best practices, and new tools and software applications and how they could impact CDM Smith.
• Assist with the development of documentation, standards, best practices, and workflows for AI/ML technologies used across the business.
• Perform other duties as required.
  
  
  

Skills And Abilities

• Experience building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud-based AI/ML platforms, particularly Microsoft Azure and Databricks.
• Proficiency in programming languages such as Python or R and experience with machine learning libraries and tools.
• Understanding of MLOps practices including model lifecycle management, monitoring, and versioning.
• Familiarity with distributed computing frameworks such as Apache Spark.
• Experience applying AI techniques such as Natural Language Processing (NLP), computer vision, or predictive analytics.
• Understanding of data privacy, security, and ethical AI principles.
• Strong problem-solving and critical thinking skills.
• Strong communication skills for collaborating with technical teams and stakeholders.
• Detail oriented with the ability to support execution of complex AI/ML solutions.
  
  
  

Minimum Qualifications

Bachelors degree. 3 years of related experience. Equivalent additional directly related experience will be considered in lieu of a college degree. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.

Preferred Qualifications

• Experience deploying production AI/ML solutions in cloud environments.
• Experience supporting AI/ML capabilities used in enterprise analytics or digital engineering solutions.
• Experience working with Databricks or modern AI/ML platforms
  
  
  

Amount Of Travel Required

0%

Background Check and Drug Testing Information

CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicants criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.

Agency Disclaimer

All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.

Business Unit

COR

Group

COR

Assignment Category

Fulltime-Regular

Employment Type

Regular

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