Senior ML Engineer: Automation & Deployment Platforms

Emerson; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Emerson seeks a senior machine learning specialist to implement production ML models, automate workflows, and monitor performance in deployed systems. The role involves evaluating data quality, security and privacy concerns, and troubleshooting ML infrastructure.

You will collaborate with stakeholders to integrate models into existing platforms and develop internal tools and services. The ideal candidate has extensive experience across ML, data science, and software engineering, with a track

Qualifications

• 11 years of experience in data science and/or machine learning, software development, computer science, or related field.
• Bachelor's Degree in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field AND 7 years of experience in data science and/or machine learning, software development, computer science, or related field
• Master's Degree in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field AND 5 years of experience in data science and/or machine learning, software development, computer science, or related field
• Doctorate in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field. AND 3 years of experience in data science and/or machine learning, software development, computer science, or related field.

Responsibilities

• Implements ML models for production and ensures readiness for deployment.
• Automates machine learning workflows and builds monitoring infrastructure.
• Evaluates data quality, security, and privacy issues and their impacts on modeling.
• Collaborates with stakeholders to integrate models into new or extant systems.

Skills

Automation

DevOps

GenAI

Product Performance

Education

Bachelor's Degree (CS/ML/CE/Math/Physics)

Master's Degree (CS/ML/CE/Math/Physics)

Doctorate (CS/ML/CE/Math/Physics)

Job description

Emerson seeks a senior machine learning specialist to implement production ML models, automate workflows, and monitor performance in deployed systems. The role involves evaluating data quality, security and privacy concerns, and troubleshooting ML infrastructure.

You will collaborate with stakeholders to integrate models into existing platforms and develop internal tools and services. The ideal candidate has extensive experience across ML, data science, and software engineering, with a track