Senior ML Engineer: Predictive Analytics & MLOps (AWS)

GCS Recruitment Specialists; Orlando (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

GCS Recruitment Specialists seeks a Machine Learning Engineer to join a high-performing AI and Data Science team in Orlando. The role focuses on end-to-end ML pipelines, scalable predictive models, and deploying ML workloads in a cloud-based environment.

The ideal candidate should have strong Python, PySpark, ML frameworks, data analysis, and MLOps experience. AWS and LLMs familiarity are highly valued for production-ready solutions.

Qualifications

• 5+ years of hands-on ML engineering experience.
• Proficient in Python and PySpark for large-scale data processing.
• Experience with Scikit-learn and ML model development.
• Strong MLOps knowledge: CI/CD, deployment, monitoring.
• Experience with AWS and LLM/NLP technologies.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics and BI use cases.
• Build scalable data processing and feature engineering pipelines with PySpark.
• Develop, test, and optimize ML algorithms using Python and Scikit-learn.
• Implement end-to-end MLOps pipelines for training, deployment, monitoring, and lifecycle management.
• Work with large structured and unstructured datasets to derive actionable insights.

Skills

Python

PySpark

Scikit-learn

MLOps

AWS

LLMs

NLP

Data analysis

Feature engineering

Statistical modeling

Communication skills

Tools

PyTorch

TensorFlow

Airflow

Job description

GCS Recruitment Specialists seeks a Machine Learning Engineer to join a high-performing AI and Data Science team in Orlando. The role focuses on end-to-end ML pipelines, scalable predictive models, and deploying ML workloads in a cloud-based environment.

The ideal candidate should have strong Python, PySpark, ML frameworks, data analysis, and MLOps experience. AWS and LLMs familiarity are highly valued for production-ready solutions.