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ML Ops Engineer (CA)

Mphasis Corporation

NEW YORK, NYJob$81–158K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$81–158K/yr
Location
NEW YORK, NY
Work Authorization
Not specified

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Job overview

Mphasis is seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, production-ready machine learning platforms across cloud and on-premises environments. The role focuses on MLOps, Kubernetes, cloud platforms, automation, and reliability engineering. Preferred experience includes enterprise-scale ML platform architecture, multi-cloud environments, production AI/GenAI workloads, infrastructure as code, and mentoring engineers.

Skills & qualifications

RequiredNice to have

Skills

Platform EngineeringDevOpsMLOpsGCPCloud-Native TechnologiesKubernetesGKEOpenShiftPythonML Lifecycle WorkflowsCI/CD PipelinesInfrastructure AutomationSecurity Best PracticesData ProtectionComplianceObservabilityMonitoringLoggingIncident ManagementSite Reliability EngineeringCommunicationStakeholder ManagementML Platform ArchitectureMulti-CloudAI/GenAI WorkloadsInfrastructure as CodeTerraformAnsibleModel ServingFeature StoresModel MonitoringMentoringPlatform Engineering Best Practices

Qualifications

8+ Years Platform Engineering ExperienceEnterprise-Scale ML Platform Architecture ExperienceAWS ExperienceAzure ExperienceGCP ExperienceProduction AI/GenAI Support ExperienceRegulated Enterprise Background

Full job description

Job SummaryWe are seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, and production-ready machine learning platforms across cloud and on-premises environments. The ideal candidate will have strong expertise in MLOps, Kubernetes, cloud platforms, automation, and reliability engineering.#### Required Qualifications * 8+ years of experience in Platform Engineering, DevOps, MLOps, or related fields. * Strong experience with GCP (Google Cloud Platform) and cloud-native technologies. * Hands-on expertise in Kubernetes, including GKE and/or OpenShift. * Strong proficiency in Python for automation and platform development. * Experience building and managing MLOps platforms and ML lifecycle workflows. * Expertise in CI/CD pipelines and infrastructure automation. * Knowledge of security, data protection, and compliance best practices. * Experience with observability, monitoring, logging, and incident management. * Strong understanding of Site Reliability Engineering (SRE) principles. * Excellent communication and stakeholder management skills.#### Preferred Skills * Experience designing enterprise-scale ML platform architectures. * Multi-cloud experience (AWS, Azure, and GCP). * Experience supporting AI/GenAI workloads in production environments. * Knowledge of Infrastructure as Code (Terraform, Ansible, etc.). * Familiarity with model serving, feature stores, and model monitoring. * Experience mentoring engineers and driving platform engineering best practices. * Background in highly regulated enterprise environments.Other detailsSalary range $80500 to $157500Equal opportunity Employer:Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.VEVRAA Federal Contractor.We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.

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