Harris is one of the country's leading mechanical contractors, and they are seeking a Machine Learning Engineer I to join their Business Intelligence team. In this entry-level role, the MLE will assist with building and maintaining data structures to support AI initiatives and gain hands-on experience in modern data systems and cloud environments.
Responsibilities
- Build and maintain strong technical knowledge of enterprise software platforms, including CMiC, WennSoft, Adaptive, and Salesforce
- Work with front-end user interfaces to improve usability and workflows
- Understand back-end database structures, including schemas and ERDs
- Contribute to the design, development, and ongoing enhancement of machine learning models
- Perform feature engineering on data from multiple sources
- Train, evaluate, and deploy models for real-world business applications
- Develop visualizations and dashboards to effectively communicate insights to stakeholders
- Implement and integrate generative AI solutions
- Fine-tune generative AI models using domain-specific data
- Build systems and pipelines that connect AI outputs to internal applications, such as chatbots
- Write and maintain code under the direction of a Data Scientist and peer Database Developer
- Identify and resolve bugs, and complete break/fix tasks promptly
- Follow established software development lifecycle methodologies
- Adhere to company coding standards and industry best practices
- Collaborate within a version-controlled development environment
- Continuously enhance coding skills and technical knowledge
- Maintain large relational data sets across SQL and other databases
- Perform SQL Server and SSMS DBA administration, including permissions, backups, and other maintenance tasks
- Work with data warehouse and data lake platforms, including Snowflake and Azure
- Monitor and audit data flows between databases and other applications
- Assist with data migration efforts
- Troubleshoot and resolve data quality and performance issues
- Stay current on process improvement and technology trends that could enhance company operations
- Recommend practical solutions to leadership to improve efficiency and effectiveness
- Maintain relevant knowledge through seminars, trade shows, industry publications, certifications, and other learning opportunities
- Keep up-to-date on project management, process improvement, and change management methodologies and best practices
Skills
- Bachelor's degree in Computer Science or a related technology (required)
- Hands-on experience with at least one ERP system, such as CMIC, COINS OA, IFS, SAP, or Microsoft Dynamics
- Strong experience with vector databases, big data tools (e.g., Spark), and data visualization and reporting platforms including Power BI and SSRS
- Demonstrated competency in LLM and Retrieval-Augmented Generation (RAG) development
- Solid understanding of Azure resources and Azure SQL administration
- Proficiency in programming and data querying, including SQL and Python
- Proven knowledge of data structures and advanced SQL concepts
- Experience with ETL processes and pipelines, including data ingestion, transformation, and integration across enterprise systems
- Track record of diagnosing, analyzing, and resolving business process issues and translating technical solutions into meaningful business outcomes
- Authorization to work in the US without sponsorship is required
- Advanced degree preferred
Benefits
- Medical, dental, vision, and life insurance
- 401K with company match
- Vacation time, sick time, and paid holidays
- Paid parental leave
- Short-Term Incentive Plan
Company Overview
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