Remote ML Engineer - Personalization & Recommendations

GCS Recruitment; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

GCS Recruitment is recruiting a Machine Learning Engineer I for remote work in the USA. You will join a cross-functional team to build and deploy machine learning solutions that power personalized experiences at scale.

The role emphasizes Python, ML fundamentals, and producing production-grade code with collaboration across data scientists and engineers. Early-career professionals with 1–3 years of experience are encouraged to apply, with a strong emphasis on modern ML tools.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related field.
• 1–3 years of relevant experience (internships, research, projects, or professional).
• Strong programming skills in Python.
• Solid understanding of supervised learning, classification, regression, feature engineering, model evaluation.
• Experience with Scikit-learn, TensorFlow, or PyTorch; SQL and large datasets; Git and software practices.

Responsibilities

• Develop, train, and deploy ML models for personalization and recommendations.
• Build scalable data pipelines for feature engineering, model training, evaluation, and inference.
• Collaborate with data scientists and software engineers to productionize research.
• Improve recommender and ranking models using large-scale data.
• Monitor model performance via experimentation, A/B testing, and data-driven analysis.
• Write clean, efficient Python code following best practices.
• Support initiatives that improve customer engagement via ML.

Skills

Python programming

Analytical thinking

Problem solving

Team collaboration

Education

Bachelor's or Master's degree in CS/ML/AI/Statistics/Engineering

Tools

Scikit-learn

TensorFlow

PyTorch

SQL

Git

Job description

GCS Recruitment is recruiting a Machine Learning Engineer I for remote work in the USA. You will join a cross-functional team to build and deploy machine learning solutions that power personalized experiences at scale.

The role emphasizes Python, ML fundamentals, and producing production-grade code with collaboration across data scientists and engineers. Early-career professionals with 1–3 years of experience are encouraged to apply, with a strong emphasis on modern ML tools.