Azure Data & ML Engineer | Databricks + MLOps

MACHINE LEARNING TECHNOLOGIES LLC; New York (NY); On-site; USD 86,000 - 123,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in New York, NY is seeking an experienced Data & ML Engineer to design, develop, and deploy scalable data pipelines in an Azure environment. You will collaborate with internal engineering and data science teams to deliver reliable, secure, and production-ready solutions.

The role emphasizes building Azure-based platforms with Databricks, Data Lake, and Synapse, plus ML model deployment through CI/CD and MLOps, with a strong focus on reliability, security, and

Qualifications

• Experience as a Data or ML Engineer in cloud environments.
• Expertise with Azure data services and Databricks.
• Proficient in Python and SQL.
• Experience building production data pipelines.
• Familiarity with CI/CD and MLOps.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build Azure-based data platforms using Databricks, Data Lake, Synapse.
• Support deployment and operationalization of ML models via CI/CD and MLOps.
• Implement monitoring and performance optimization for data/ML workloads.
• Collaborate with data scientists and engineers to translate requirements.
• Develop reusable, automated components following cloud best practices.

Skills

Data engineering

ML engineering

Azure data services

Python

SQL

Spark/Databricks

CI/CD / MLOps

Communication

Tools

Databricks

Azure Synapse

Docker/Kubernetes

Job description

MACHINE LEARNING TECHNOLOGIES LLC in New York, NY is seeking an experienced Data & ML Engineer to design, develop, and deploy scalable data pipelines in an Azure environment. You will collaborate with internal engineering and data science teams to deliver reliable, secure, and production-ready solutions.

The role emphasizes building Azure-based platforms with Databricks, Data Lake, and Synapse, plus ML model deployment through CI/CD and MLOps, with a strong focus on reliability, security, and