Fugro

Senior Machine Learning Engineer

Fugro

full-time

Posted on:

Location Type: Hybrid

Location: Lafayette • Louisiana • Texas • United States

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Job Level

Senior

Tech Stack

AWSCloudMicroservicesPythonRemote Sensing

About the role

  • Lead by example and place Quality, Health & Safety, Security, and the protection of the Environment as core values.
  • 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.

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.
  • Strong written and verbal English communication skills; comfortable explaining technical tradeoffs to both technical and non-technical stakeholders.
  • Geospatial data experience (raster/vector, coordinate systems, tiling) and/or remote sensing workflows is a plus.
  • Experience with microservices architecture and container orchestration is also a plus.
  • Experience with serverless and/or edge computing patterns is also a plus.
Benefits
  • Opportunities to sharpen skills and provide career growth through on-the-job learning experiences
  • LinkedIn Learning access
  • Business and technical training
  • Leadership development programs
  • Flexible work models
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningDeep LearningComputer VisionPythonC#MLOpsSoftware EngineeringSystem DesignMicroservices ArchitectureContainer Orchestration
Soft Skills
LeadershipCommunicationMentorshipCoachingProblem SolvingDocumentationCollaborationKnowledge ExchangeTechnical Tradeoff ExplanationTeam Execution