Infrastructure Asset Management Intern
Denver, CO, United States
Company Description
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
Job Description
AECOM is seeking an Infrastructure Asset Management Intern to be based in Denver, Colorado.
This position is expected to begin in May 2025.
The responsibilities of this position include, but are not limited to:
- Assist in the development of machine learning models for various applications such as natural language processing, computer vision, or predictive analytics.
- Collaborate with cross-functional teams to understand business needs and develop AI/ML-driven solutions.
- Contribute to the data collection and preprocessing activities for training and testing of models.
- Perform exploratory data analysis to understand the data and build initial models.
- Help in optimizing algorithms for efficiency and scalability.
- Participate in code reviews, and ensure coding standards and best practices are followed.
- Document model development processes, algorithms, and findings.
- Stay current with emerging technologies in AI and ML to ensure state-of-the-art solutions.
Qualifications
MINIMUM REQUIREMENTS:
- Candidates must be pursuing a Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or a related technical field with a focus on AI/ML and must have completed at least two years of study. Candidates who have recently graduated with a Bachelor’s degree and plan to continue with the Master’s degree are eligible to apply for these positions. Recent graduates must have been enrolled in their bachelor’s degree in the most previous school term with an interest in pursuing an advanced degree in the same or similar discipline at the conclusion of the internship.
PREFERRED QUALIFICATION:
- Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related technical field with a focus on AI/ML.
- Asset Management courses or exposure (Capital Investment Planning, Life-Cycle Development, deterioration modeling, asset valuation, gap analysis, roadmapping).
- Working within GIS environment learning from engineers, designers or mapping personnel as they help support GIS projects.
- Reviewing GIS data for Quality Control and Quality Assurance purposes.
- Completed coursework utilizing Geographic Information Systems & ESRI-related products preferred.
- Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with programming languages like Python, Java, or C++.
Additional Information
- Relocation assistance is not available for this role.
- Sponsorship for US employment authorization is not available now or in the future for this position.
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.
Freedom to Grow in a World of Opportunity
You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed.
You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients.
AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too.
Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.
All your information will be kept confidential according to EEO guidelines.
Tags: Computer Science Computer Vision Consulting Consulting firm Data analysis EDA Engineering Java Machine Learning ML models NLP Python PyTorch Scikit-learn TensorFlow Testing
Perks/benefits: Career development Equity / stock options Health care Insurance Relocation support
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