Manhattan Construction Group · 7 hours ago
AI & Data Science Engineer
Tulsa, OK
Full-time
Onsite
Mid, Senior Level
2+ years expManhattan Construction Group is seeking an AI & Data Science Engineer to help build and operationalize the next generation of data, analytics, and AI capabilities within the organization. The role involves designing machine learning models, building data pipelines, and implementing AI solutions to support strategic business decision-making.
Construction
Hiring Manager
Fatima Gonzalez-Munoz
Responsibilities
Build and maintain ETL/ELT data pipelines using SQL, Python, and cloud data services
Work with SQL Server, Azure databases, and data warehouses to ensure high quality data for analytics and AI
Create analytical datasets for dashboards and insights delivered through Power BI
Translate complex model outputs into clear business insights and recommendations
Develop and validate predictive models
Perform data exploration and statistical analysis across structured and unstructured data
Apply responsible AI practices, including model explainability and performance monitoring
Develop AI-driven applications such as chatbots, copilots, recommendation systems, or natural language interfaces
Integrate AI models with business applications through APIs, automation tools, or custom services
Deploy models into production using Azure-based workflows, CI/CD pipelines, or containerized services
Implement model monitoring, retraining, and version management
Collaborate with IT and development teams to ensure scalability, security, and maintainability of deployed solutions
Work closely with business leaders to identify high-value opportunities for AI and advanced analytics
Communicate technical concepts in a clear, actionable manner to both technical and non-technical audiences
Help establish standards, documentation, and reusable frameworks for AI and analytics initiatives
Qualification
Required
Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or related field; or equivalent experience
2–5+ years of experience in data science, AI/ML engineering, or related data-driven roles
Strong proficiency in Python and SQL
Experience developing and deploying models using Azure Machine Learning or similar cloud platforms
Experience with Power BI or another enterprise BI tool
Strong understanding of data modeling, machine learning algorithms, and statistical methods
Experience working with Microsoft Azure or other cloud ecosystems
Preferred
Experience integrating or fine-tuning models using Azure OpenAI Service or other large language model platforms
Familiarity with model deployment tools and techniques (e.g., CI/CD pipelines, automated retraining)
Experience building APIs or microservices to expose machine learning models
Knowledge of modern data lake, warehouse, or data platform concepts
Company
Manhattan Construction Group
When Laurence H.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase