Senior ML Engineer - Azure Databricks (Onsite CA)

Starcom; Diamond Bar (CA); Híbrido; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Starcom is seeking a Senior Data Scientist/ML Engineer to design, build, and deploy scalable AI/ML solutions in Azure. You will leverage Databricks, PySpark, and MLflow to create end-to-end pipelines and modern AI applications including vision systems and Generative AI.

The role requires strong Python/SQL skills, experience with MLOps, and collaboration with cross-functional teams to drive business impact from data-driven insights.

Formación

• Experience designing and deploying end-to-end ML pipelines in cloud environments.
• Strong knowledge of Azure Databricks, PySpark, MLflow, and Delta Lake.
• Proficiency in Python for data processing and modeling; SQL expertise.

Responsabilidades

• Design, build, and deploy scalable ML pipelines from data ingestion to monitoring.
• Develop advanced data engineering tasks using PySpark and SQL on large datasets.
• Collaborate with product and engineering teams to translate requirements into AI solutions.
• Stay current with AI/ML trends, especially Generative AI and MLOps practices.
• Ensure model governance, performance, and security standards.

Conocimientos

Azure Databricks

Python (Pandas/Scikit-learn/NumPy)

SQL

MLflow

Docker

Kubernetes

Computer Vision

Generative AI

LLMs

Herramientas

Databricks

PySpark

Delta Lake

Azure Data Lake

Synapse Analytics

OpenCV

PyTorch

TensorFlow

Descripción del empleo

Starcom is seeking a Senior Data Scientist/ML Engineer to design, build, and deploy scalable AI/ML solutions in Azure. You will leverage Databricks, PySpark, and MLflow to create end-to-end pipelines and modern AI applications including vision systems and Generative AI.

The role requires strong Python/SQL skills, experience with MLOps, and collaboration with cross-functional teams to drive business impact from data-driven insights.