Senior ML Engineer - AI/ML Pipelines & Cloud (Hybrid)

Softility, Inc.; Herndon (VA); On-site; USD 151,000 - 205,000; Full time

Job summary

Softility, Inc. is seeking a Sr. Machine Learning Engineer IV to design and oversee end-to-end ML and data architectures for large-scale enterprise solutions in a hybrid-cloud environment.

You will act as the SME for Python, PySpark, Hive, AWS, and GCP, guiding feasibility studies and scalable network health forecast models. You will lead architecture and data-modeling efforts, oversee code reviews, and ensure data pipelines scale to massive datasets.

Qualifications

• End-to-end ML/data architecture for enterprise-scale systems.
• Experience leading teams and performing final code reviews for high-volume repositories.
• Migration of ML models to cloud hyperscalers (AWS/GCP) with performance benchmarks.

Responsibilities

• Lead end-to-end ML pipelines from data prep to deployment.
• Architect enterprise data models and warehouses (Oracle/DB2/Hive).
• Evaluate new data technologies and drive scalable solutions.
• Oversee CI/CD and production deployment processes.

Skills

End-to-end architecture

Technical leadership

Feasibility studies

Data pipeline design

Model deployment

Code reviews

Tools

Python

PySpark

Hive

AWS

GCP

TensorFlow

Jupyter Notebooks

Oracle

DB2

Spark

Hadoop

Oozie

Jenkins

Selenium

SQL

Job description

Softility, Inc. is seeking a Sr. Machine Learning Engineer IV to design and oversee end-to-end ML and data architectures for large-scale enterprise solutions in a hybrid-cloud environment.

You will act as the SME for Python, PySpark, Hive, AWS, and GCP, guiding feasibility studies and scalable network health forecast models. You will lead architecture and data-modeling efforts, oversee code reviews, and ensure data pipelines scale to massive datasets.