Machine Learning Engineer I jobs in United States
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Harris · 9 hours ago

Machine Learning Engineer I

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 will work closely with a Data Scientist and Database Developer.

Building MaintenanceCommercialConstructionData CenterIndustrialIndustrial EngineeringMechanical EngineeringService IndustrySmart Building
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Growth Opportunities
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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

Qualification

Machine LearningSQLPythonData VisualizationAzure SQL AdministrationETL ProcessesCollaborationProblem SolvingAdaptability

Required

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

Preferred

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

Harris

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National mechanical contractor providing design+engineering, construction, building automation, service, manufacturing, conveyors and more.

Funding

Current Stage
Late Stage

Leadership Team

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Greg Hosch
CEO
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Michel Michno
CEO
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Company data provided by crunchbase