Senior ML Engineer: End-to-End ML Pipelines on AWS

GCS Recruitment; Sunnyvale (CA); On-site; USD 170,000 - 240,000; Full time

Job summary

GCS Recruitment in Sunnyvale, CA is seeking a Machine Learning Engineer to join a high-performing AI and Data Science team, building end-to-end ML pipelines and deploying predictive models in a cloud environment.

The ideal candidate will have strong Python, PySpark, and Scikit-learn experience, plus a background in data analysis and MLOps. Experience with LLMs and AWS is highly valued for this role.

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.

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

AWS

MLOps

LLMs

Tools

PyTorch

TensorFlow

Job description

GCS Recruitment in Sunnyvale, CA is seeking a Machine Learning Engineer to join a high-performing AI and Data Science team, building end-to-end ML pipelines and deploying predictive models in a cloud environment.

The ideal candidate will have strong Python, PySpark, and Scikit-learn experience, plus a background in data analysis and MLOps. Experience with LLMs and AWS is highly valued for this role.