Enterprise Data Science Architect & AI Platform Lead

Quantum Technologies. LLC; Dallas (TX); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Quantum Technologies. LLC seeks a seasoned Data Science Architect to design and lead scalable data science, ML, and AI solutions across the enterprise.

You will establish architecture standards and collaborate with data scientists, engineers, and business stakeholders to deliver robust analytics platforms. The role emphasizes end-to-end model development, MLOps, CI/CD for ML workloads, and cloud-based data architectures on AWS, Azure, or Google Cloud.

Qualifications

• 10+ years of experience in data science, ML, or data engineering.
• Proven track record in data architecture and ML model lifecycle.
• Strong programming and cloud architecture skills.
• Experience leading enterprise analytics initiatives.

Responsabilités

• Design end-to-end Data Science, ML, and AI architectures for enterprise apps.
• Define scalable, secure data ingestion, processing, and analytics pipelines.
• Lead deployment of predictive analytics and ML models across environments.
• Collaborate with scientists, engineers, and stakeholders to build platforms.
• Establish standards for model development, validation, and monitoring.

Connaissances

Python

SQL

ML/AI Architecture

MLOps

Spark/PySpark

Cloud Platforms (AWS/Azure/GCP)

Data Pipelines

REST APIs

Docker/Kubernetes

Communication

Formation

Bachelor's degree in Computer Science or related field

Outils

Databricks

TensorFlow

PyTorch

Scikit-learn

MLflow

XGBoost

Description du poste

Quantum Technologies. LLC seeks a seasoned Data Science Architect to design and lead scalable data science, ML, and AI solutions across the enterprise.

You will establish architecture standards and collaborate with data scientists, engineers, and business stakeholders to deliver robust analytics platforms. The role emphasizes end-to-end model development, MLOps, CI/CD for ML workloads, and cloud-based data architectures on AWS, Azure, or Google Cloud.