Senior Machine Learning Engineer - Lafayette

Job Description · Fugro's innovation teams develop solutions for both internal users and Fugro's clients. With innovation centers in Canada, Brazil, the USA, and other key locations worldwide, you will join a global innovation group with a tradition of building best-of-class appl ...

Job description

Job Description

Fugro's innovation teams develop solutions for both internal users and Fugro's clients. With innovation centers in Canada, Brazil, the USA, and other key locations worldwide, you will join a global innovation group with a tradition of building best-of-class applications in the Geo-Data space.

Our engineers work across domains such as spatial data, cloud computing, deep learning, and process automation.

The Senior Machine Learning Engineer is responsibole to deliver differentiation through technology in our products and service delivery. You will lead the development of cloud-hosted geospatial processing for remote-sensing data (imagery and LiDAR), including classification and feature extraction using machine learning.

In this role, you will provide technical and architectural leadership within a small, highly agile team building a cloud processing pipeline that manages geo-data and presents results to users for editing and QA/QC.

Job Responsibilities

• Lead by example and place Quality, Health & Safety, Security, and the protection of the Environment as core values while never intentionally placing employees, our processes, customers, or the communities in which we live and work at risk.
• Provide conceptual input and technical leadership in architecture and design discussions across ML, cloud, and geospatial workflows.
• Translate business needs into technical plans by understanding how Fugro's products create value for clients and contributing actively to business value discussions.
• Drive end-to-end solution development: evaluate problem definition, requirements, feasibility, approach options, and proposed solutions.
• Design, build, and improve ML/Computer Vision solutions for feature extraction and classification from imagery and LiDAR.
• Assure efficiency and operational readiness of selected product components (reliability, scalability, performance, maintainability).
• Assure successful deployment of product/service/technology, including troubleshooting and resolution of operational issues.
• Document and demonstrate solutions with clear technical documentation and diagrams (flowcharts, layouts, architecture, data flows).
• Collect, analyze, and summarize development and service issues to improve platform quality and team execution.
• Actively drive knowledge exchange by leading design reviews, "known problems/solutions" sessions, and adoption of industry best practices.
• Support and develop less experienced engineers through coaching, mentorship, and opportunities for learning.
• Other duties as assigned.

Job Requirements

• Legally authorized to work in the United States, without restrictions.
• Possess a Bachelor's degree or Master's degree preferred in Machine Learning, Data Science, Software Engineering, or a related engineering field.
• Have 5 years or more of professional experience building and maintaining software systems using relevant technologies preferred.
• Have 3 years or more of hands-on experience delivering machine learning solutions (including deep learning) to production or production-like environments preferred.
• Experience with Python required, C# desirable, or at least one additional language used in product development.
• Strong foundations in software engineering and system design (object-oriented design, testing, maintainability, reliability).
• MLOps experience (model packaging, deployment, monitoring, drift/quality checks, reproducible training).
• AWS (Amazon Web Services) cloud application development experience preferred.
• Ability to lead major aspects of design, development, and maintenance, including advanced troubleshooting of operational systems.
• Strong written and verbal English communication skills; comfortable explaining technical tradeoffs to both technical and non-technical stakeholders.

Nice to have

• Geospatial data experience (raster/vector, coordinate systems, tiling) and/or remote sensing workflows.
• Experience with microservices architecture and container orchestration.
• Experience with serverless and/or edge computing patterns.

What's in it for you?

At Fugro, our people are our number one priority and central to our purpose to create a safe and livable world. Our values set the foundation for our unique culture: we are determined to deliver, we prepare for tomorrow, we do what's right, and we build trust. Our talent philosophy is seeded by our values and fueled by a passion for learning, developing leadership behaviors, transparency, and accountability.

Fugro offers opportunities to sharpen skills and provide career growth through on-the-job learning experiences, LinkedIn Learning access, business and technical training, and leadership development programs.

We value the mental, physical, and financial health of our employees and their families and offer a variety of flexible work models. Fugro USA's comprehensive benefits package also ensures you have choices that fit your needs at any life stage

How to apply?

If you are interested in this role we look forward to discussing this opportunity with you. Please click on our 'apply' button and upload your resume and cover letter.

Disclaimer for recruitment agencies:

Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated.

Fugro USA  posting Disclaimer

Fugro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.

Individuals with disabilities needing assistance in the recruitment process are encouraged to contact Human Resources directly at or 

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