Capgemini

Capgemini

Lead Machine Learning Engineer

New York, NY, US · Full-time

Sponsorship not specified$126k-$136kDetected 2 days ago
CI/CDMachine LearningLLMsAccessibility

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

Even the top of this range is below the Level II threshold of $137,717, so this role stays at one lottery entry however you negotiate. That is a property of the posted band, not of you.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • The ideal candidate will work closely with development, infrastructure, security, and operations teams to ensure reliable, scalable, and efficient software releases while maintaining high availability and system stability.

Responsibilities

  • Design, implement, and maintain deployment pipelines for applications and services.
  • Automate build, release, and deployment processes using industry-standard CI/CD tools.
  • Collaborate with development teams to ensure deployment readiness and release success.
  • Support environment provisioning, configuration management, and release governance.
  • Develop rollback and disaster recovery procedures for critical deployments.
  • Create and maintain deployment documentation, runbooks, and operational procedures.
  • Participate in release planning, change management, and production support activities.

Skills

  • Hartford, CT (Hybrid - 3 days/week from office).
  • Primary Skill:
  • Deployment Engineering
  • Manage application deployments across multiple environments.
  • Monitor deployments and troubleshoot release-related issues.
  • Implement infrastructure-as-code (IaC) and deployment automation best practices.

Compensation

  • $126k-$136k

Benefits

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Other benefits as provided by local policy and eligibility

This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.