Description

Bridge data engineering and machine learning to build large-scale data solutions. Implement and support modern data architectures using Azure Data Factory, Data Lake, Databricks, and SQL data warehouses. Translate complex product requirements into technical data management designs.

Responsibilities

• Build and deploy machine learning and NLP models into production.
• Manage and manipulate large datasets using PySpark and Python-based data frames.
• Design normalized and dimensional data models for efficient storage and retrieval.
• Apply data mining, NLP algorithms, and deep learning frameworks to solve business problems.

Required Skills

• 8+ years of experience in data management and analysis using Python and PySpark.
• 2+ years as a Machine Learning Engineer with at least two large-scale ML and NLP project deployments.
• 5+ years of experience working within cloud ecosystems, preferably Azure.
• Strong proficiency in SAS and data manipulation in Python.
• Hands-on experience with Spark, SQL, and Databricks.
• Expertise in normalized and dimensional data modeling principles.
• Recent and strong experience working within the healthcare domain.

Preferred Skills

• Broad knowledge of deep learning (ML & DL) frameworks.

Key Skills

Education

Not specified