Lead ML Engineer, Geospatial Asset Vision & Analytics

Fundamentl; Argentina; Presencial; ARS 1.800.000 - 3.400.000; Jornada completa

Descripción de la vacante

Fundamentl is seeking a Lead Machine Learning Engineer to support a large-scale Asset Image Analytics initiative for a major utilities client, focusing on computer vision and AI to improve asset inspection, risk detection, and operational decision-making.

You will own end-to-end ML pipelines—from image ingestion and labeling to model development and deployment—driving automated defect detection, asset classification, and predictive insights in asset management.

Formación

• 10-15+ years of experience in ML, data, and/or software engineering using Python in production.
• Experience building, deploying, and optimizing machine learning models.
• Strong experience with Azure ML and Databricks/MLflow.
• Experience developing and deploying image models.
• Experience building robust CI/CD pipelines for ML workflows.
• Familiarity with TensorFlow, Keras, and GitHub.

Responsabilidades

• Design, develop, and deploy ML models with a focus on computer vision use cases like defect detection and change detection.
• Build and maintain ML pipelines including preprocessing, feature engineering, model training, and validation.
• Collaborate with cross-functional teams to support image labeling, dataset creation, and model training processes.
• Develop and optimize image ingestion and metadata enrichment pipelines for scalable analytics.
• Integrate ML outputs into asset management platforms and workflow tools for automated insights.
• Improve model performance via evaluation, tuning, and retraining strategies.
• Support deployment and operationalization of models (MLOps) including monitoring and performance tracking.
• Translate business requirements into data science and ML solutions for asset management use cases.
• Contribute to AI/ML best practices, governance, and scalable architecture.

Conocimientos

Python

MLOps

Azure ML

Databricks/MLflow

Kubernetes

GitHub

CI/CD

TensorFlow

Keras

Educación

Master's degree/PhD in computer science or related field

Herramientas

Terraform

Kubernetes

Descripción del empleo

Fundamentl is seeking a Lead Machine Learning Engineer to support a large-scale Asset Image Analytics initiative for a major utilities client, focusing on computer vision and AI to improve asset inspection, risk detection, and operational decision-making.

You will own end-to-end ML pipelines—from image ingestion and labeling to model development and deployment—driving automated defect detection, asset classification, and predictive insights in asset management.