Senior ML Engineer – Cloud-Native ML & MLOps

GCS Recruitment Specialists; Ohio; On-site; USD 120,000 - 160,000; Full time

Job summary

GCS Recruitment Specialists seeks a Machine Learning Engineer to join a high-performing AI and Data Science team. You will design end-to-end ML pipelines, build scalable predictive models, and operationalize ML workloads in a cloud environment.

The ideal candidate has 5+ years in ML/AI roles, strong Python and PySpark skills, and hands-on experience with ML frameworks, MLOps, and AWS. LLM/NLP familiarity is highly valued.

Qualifications

• 5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.
• Strong programming expertise in Python.
• Hands-on experience with PySpark and large-scale data processing.
• Experience developing machine learning models using Scikit-learn.
• Strong background in data analysis, feature engineering, and statistical modeling.
• Experience building and maintaining MLOps pipelines and model deployment workflows.
• Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.
• Experience working within AWS cloud environments.
• Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.
• Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.
• Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.
• Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Work with large structured and unstructured datasets to derive actionable insights and improve model performance.
• Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.
• Support the integration of machine learning models into enterprise applications and workflows.
• Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.
• Explore and implement Large Language Model (LLM) solutions where applicable.
• Participate in model evaluation, performance tuning, and continuous improvement initiatives.

Skills

Python

PySpark

Scikit-learn

Data analysis

Feature engineering

Statistical modeling

MLOps pipelines

Model deployment workflows

AWS

LLMs / NLP

Generative AI

Tools

PyTorch

TensorFlow

AWS Cloud

Job description

GCS Recruitment Specialists seeks a Machine Learning Engineer to join a high-performing AI and Data Science team. You will design end-to-end ML pipelines, build scalable predictive models, and operationalize ML workloads in a cloud environment.

The ideal candidate has 5+ years in ML/AI roles, strong Python and PySpark skills, and hands-on experience with ML frameworks, MLOps, and AWS. LLM/NLP familiarity is highly valued.