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Hexagon Asset Lifecycle Intelligence

AI Developer (Remote - United States)

Company logo
Hexagon Asset Lifecycle Intelligence
Empowering industries with intelligent asset lifecycle management solutions.
Develop and productize AI/ML models, especially LLMs, for Hexagon's Asset Lifecycle.
4d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Roanoke, VA
Remote
Company Size
1,200 Employees
Service Specialisms
Asset Lifecycle Information Management
Design & Visualization
Engineering & Schematics
Engineering Analysis
Enterprise Project Performance
Operations & Maintenance
OT/ICS Cybersecurity
Procurement, Fabrication & Construction
Sector Specialisms
Industrial
Energy
Infrastructure
Buildings
Residential
Commercial
Water Resources
Heavy Civil
Role
What you would be doing
code development
code review
unit testing
root cause
application development
mentoring
  • Recommend and implement changes and enhancements to improve the quality of products and internal procedures.
  • Write and implement efficient, maintainable, and reusable code.
  • Engage with cross-functional teams to develop applications that meet customer needs.
  • Work with team members to conduct root cause analysis of issues, review new and existing code, and perform unit testing.
  • Use independent judgment and apply programming/software principles, theories, and concepts to complete assignments.
  • Mentor junior developers in specific areas of expertise.
What you bring
llm expertise
ml libraries
data science
ai development
.net
multi-tasking
  • Expertise in LLMs (e.g., ChatGPT, Claude, Llama, etc.) and traditional ML model creation and productization.
  • Experience with typical ML libraries such as PyTorch, TensorFlow, etc.
  • Process or industrial data analysis experience (a plus).
  • Capably handle multiple tasks and switch from task to task without loss of efficiency.
  • .NET, REST, and other traditional application development technologies.
  • 8+ years of professional experience in software development, with a strong focus on AI development.
  • Knowledge and deep understanding of Data Science best practices, approaches, and tooling.
  • Proven experience taking LLM/ML use cases from concept (e.g., Jupyter notebooks) to productization and execution as part of a larger software application, including long-term model maintenance and retraining.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
  • no visa sponsorship will be provided.
Security clearance
Information not given or found
Company
Overview
  • Delivers cutting-edge solutions for managing the entire lifecycle of assets, from design to decommissioning.
  • Focused on enhancing operational efficiency, reducing costs, and improving decision-making with advanced technologies.
  • A key player in industries like energy, infrastructure, and industrial sectors, providing specialized software for asset management and digital transformation.
  • Utilizes AI, IoT, and data analytics to support better management of physical assets across industries, driving innovation in asset-heavy industries.
  • Their solutions help clients across diverse sectors to maintain, optimize, and extend the life of their critical assets.
  • The company’s software tools are known for seamless integration, empowering clients to maximize the performance and reliability of their assets.
Culture + Values
  • Delivering innovative solutions that solve real-world problems for our customers.
  • Striving for the highest quality in everything we do, while fostering continuous improvement.
  • Working together as one team to drive success and deliver exceptional value.
  • Embracing sustainability in both our products and operations to promote a healthier planet.
  • Conducting business ethically and transparently in all our relationships.
Environment + Sustainability
2050
Net Zero emissions target
The company has set a goal to achieve Net Zero emissions by this future date, aligning with global sustainability efforts.
  • enabling more sustainable asset management and decision-making.
  • reducing its environmental footprint through technology-driven innovations.
  • helping customers reduce energy consumption and minimize waste.
Inclusion & Diversity
  • Fosters inclusive culture where diverse perspectives drive innovation and success.
  • Leadership includes initiatives focused on increasing gender balance across global teams.
  • Promotes equal opportunities for all employees and encourages diversity in leadership roles.
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