AI Engineer I

JOB DESCRIPTION

As a 100% employee-owned contractor, when you work at Sundt, you're not just hiring on at a company, you're joining a culture.

Because everyone at Sundt is part owner, you'll join a team of people who are deeply invested in their work.

From apprentices to managers, we're passionate about the details and deliberate in everything we do.

At Sundt we focus on building long-term prosperity for our clients, communities, and employee-owners.

We offer competitive pay, industry-leading benefits including a 401k and employee stock ownership plan, incentive programs for craft and administrative employees as well as training that focuses on your personal and professional growth.

We're driven by skill, grit and purpose.

Join us as we strive to be the most skilled builder in America.

Job Summary

As an Al Engineer Level I, you will support the comprehensive lifecycle of artificial intelligence projects, from conceptualization to deployment.

You will collaborate with multidisciplinary teams including data scientists, data engineers, and solution architects to develop effective Al solutions aimed at enhancing business operations and decision-making processes.

This role includes active involvement in data preprocessing, exploratory analysis, algorithm implementation, evaluation, and maintenance tasks, providing a solid foundation to grow technical expertise in Al applications.

Key Responsibilities

1.

Assist senior engineers and data scientists in developing machine learning and deep learning models.
2.

Collaborate effectively with technical and non-technical teams to integrate Al solutions seamlessly into existing applications and workflows.
3.

Document Al project developments, findings, and procedures comprehensively.
4.

Monitor Al systems and report performance metrics to identify and rectify issues proactively.
5.

Participate actively in model training, validation, and optimization to ensure desired outcomes.
6.

Perform exploratory data analysis to understand and prepare datasets for modeling.
7.

Support the creation and maintenance of data pipelines, ensuring accurate data ingestion, preprocessing, and labeling.

Minimum Job Requirements

1.

0-2 years of relevant experience, internships, or project-based work involving Al or data science.
2.

Bachelor's degree in computer science, Al, Data Science, or a closely related technical field.
3.

Fundamental understanding of core machine learning principles, basic natural language processing, and statistical analysis.
4.

Good analytical, problem-solving, and communication skills with a proactive approach to learning and collaboration.
5.

Proficiency in Python programming, with practical knowledge of libraries and tools such as TensorFlow, PyTorch, scikit-learn, Keras, Pandas, NumPy, Hugging Face, spaCy, LangChain, and Jupyter Notebooks.

Note: Job Description is subject to change at any time and may include other duties as assigned.

Physical Requirements

1.

May stoop, kneel, or bend, on an oc...