Machine Learning Engineer - PhD in Machine Learning

The purpose of your role as a Machine Learning Engineer I

The following information aims to provide potential candidates with a better understanding of the requirements for this role.

We are seeking a Machine Learning Engineer I (MLE) to join our Business Intelligence team. In this entry-level role, the MLE will primarily assist with building and maintaining data structures to support ongoing AI initiatives and related administrative tasks. The MLE will work under the guidance of the Data Scientist and peer Database Developer, helping with the organization and management of databases, preparation of data for analytics, and routine administrative responsibilities. As part of the team, the MLE will gain hands-on experience in modern data systems and cloud environments while supporting broader digital transformation objectives.

This is a hybrid-remote position, which may be based out of our corporate headquarters in St. Fully remote work arrangement may be considered for highly qualified candidates. 

Build and maintain strong technical knowledge of enterprise software platforms, including CMiC, WennSoft, Adaptive, and Salesforce o Work with front-end user interfaces to improve usability and workflows o Understand back-end database structures, including schemas and ERDs

Machine Learning and AI Engineering

Contribute to the design, development, and ongoing enhancement of machine learning models o Perform feature engineering on data from multiple sources o Train, evaluate, and deploy models for real-world business applications o Develop visualizations and dashboards to effectively communicate insights to stakeholders

Implement and integrate generative AI solutions o Fine-tune generative AI models using domain-specific data o 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

Follow established software development lifecycle methodologies

Adhere to company coding standards and industry best practices

Continuously enhance coding skills and technical knowledge

Data Administration

Maintain large relational data sets across SQL and other databases o 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

Keep up-to-date on project management, process improvement, and change management methodologies and best practices

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

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

As one of the country's leading mechanical contractors, Harris offers the stability, resources, and opportunities of a national company along with the team culture, creative spirit, and customer loyalty of a local business. xhyhwjd From stadiums to manufacturing facilities, power plants to hospitals, and concert halls to classrooms, we handle projects of all sizes and complexity across multiple regional locations throughout the country.

Medical, dental, vision, and life insurance

~Vacation time, sick time, and paid holidays

~ Short-Term Incentive Plan