Lead Machine Learning Engineer

Capgemini • New York, NY

7d • $126,000 - $136,000 • Hybrid

About The Position

Despite the listed title, the role description is for a Deployment Engineer. The position manages, automates, and optimizes application deployments across development, testing, staging, and production environments. It works with development, infrastructure, security, and operations teams to deliver reliable, scalable software releases while maintaining high availability and system stability. The primary skill is Deployment Engineering.

The role is based in Hartford, Connecticut, with a hybrid arrangement requiring three days per week in the office. The posted base compensation range is $126,000–$136,000. Additional variable incentives, bonuses, or commissions may be available depending on the position and applicable laws. Capgemini describes a benefits package for regular, full-time employees; benefits vary by local policy and eligibility and may include paid time off, holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.

Responsibilities

• Design, implement, and maintain deployment pipelines for applications and services.
• Automate build, release, and deployment processes using industry-standard CI/CD tools.
• Manage application deployments across multiple environments.
• Collaborate with development teams to ensure deployment readiness and release success.
• Monitor deployments and troubleshoot release-related issues.
• Implement infrastructure-as-code (IaC) and deployment automation best practices.
• Support environment provisioning, configuration management, and release governance.
• Develop rollback and disaster recovery procedures for critical deployments.
• Ensure compliance with security, quality, and operational standards.
• Create and maintain deployment documentation, runbooks, and operational procedures.
• Continuously improve deployment processes to increase efficiency and reliability.
• Participate in release planning, change management, and production support activities.

Benefits

• Paid time off, with vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed