Senior ML Engineer: Build & Deploy Scalable Models

GSB; Los Angeles (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

GSB in Los Angeles seeks a Senior Machine Learning Engineer with 5+ years designing, deploying, and maintaining ML solutions in production environments. The role emphasizes hands-on expertise in ML, Python, Snowflake, and MLOps.

You will build end-to-end ML pipelines, develop predictive models, perform feature engineering and forecasting, analyze large datasets for business insights, monitor models in production, and collaborate with engineering teams to deliver scalable, reliable solutions.

Qualifications

• 5+ years of experience developing, deploying, and maintaining ML solutions in production.
• Strong expertise in Machine Learning, Python, Snowflake, and MLOps.
• Experience building end-to-end ML pipelines, predictive models, feature engineering, forecasting.
• Experience with Scikit-learn, Pandas, NumPy, SQL, and cloud data platforms.

Responsibilities

• Design and deploy scalable ML models.
• Analyze large datasets to generate business insights.
• Collaborate with engineering teams, monitor model performance, and deliver production-ready solutions.

Skills

Machine Learning

Python

ML Ops

Tools

Scikit-learn

Pandas

NumPy

SQL

Cloud data platforms

Job description

GSB in Los Angeles seeks a Senior Machine Learning Engineer with 5+ years designing, deploying, and maintaining ML solutions in production environments. The role emphasizes hands-on expertise in ML, Python, Snowflake, and MLOps.

You will build end-to-end ML pipelines, develop predictive models, perform feature engineering and forecasting, analyze large datasets for business insights, monitor models in production, and collaborate with engineering teams to deliver scalable, reliable solutions.