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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing machine-learning models, particularly in Computer Vision and Deep Learning, while leading development efforts and mentoring junior engineers. Proficient in deploying scalable ML systems and collaborating with cross-functional teams to address sustainability challenges.
Highest-signal resume keywords
Machine Learning ExpertiseComputer VisionPython ProficiencyPyTorch ExperienceCloud Infrastructure (Azure)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningAlgorithmsData StructuresML System DesignModel DeploymentCI/CDData ProcessingPoint Cloud Data ProcessingGeospatial Data
Soft Skills
Problem-SolvingMentoringCollaborationBias For Action
Tools & Technologies
AirflowDockerKubernetesPostgreSQL
Industry Keywords
MLOpsRemote SensingSmart-City SolutionsUrban Green SpacesSustainability Challenges
Tech Stack
Tools & technologiesAirflowAzureCloudDockerKubernetesPostgresPythonPyTorchRemote Sensing
About the role
Key responsibilities & impact- Own the design, development, and optimization of core machine-learning models, especially in Computer Vision and Deep Learning
- Lead development of efficient, scalable training and inference pipelines
- Mentor junior ML engineers, review code, and share best practices
- Collaborate with data engineers, product teams, and remote-sensing experts
- Drive performance optimization for large-scale ML workflows and data-processing pipelines
- Contribute to strategic technical decisions around model deployment and MLOps
- Stay current with Machine Learning research and apply it to real-world sustainability challenges
- Help develop nature-based smart-city solutions that transform urban green spaces using remote sensing and machine learning
Requirements
What you’ll need- 5+ years of professional experience in Machine Learning
- Deep expertise in Computer Vision (ideally)
- Strong proficiency in Python and PyTorch
- Track record of successful delivery of production-grade ML systems
- Strong foundation in algorithms, data structures, and ML system design
- Excellent problem-solving skills and a bias for action
- Experience with CI/CD, model versioning, and model deployment at scale
- Proven experience working on cloud infrastructure; Azure preferred
- Experience with geospatial data or remote sensing (valued)
- Experience with point cloud data processing (valued)
- Experience with PostgreSQL or other relational databases (valued)
- Experience with workflow automation tools such as Airflow (valued)
- Experience with DevOps tools such as Docker and Kubernetes (valued)
- Contributions to open-source ML projects or published research (valued)
- Relocation to Budapest, Hungary might be needed
Benefits
Comp & perks- Collaborative, innovative team environment
- Opportunity to work on high-impact sustainability and smart-city projects
- Opportunity to see the tangible impact of contributions in urban environments
- Dynamic environment where efforts matter