Google Cloud Machine Learning Engineer Jobs Near Me

Job Summary:
PSI (Proteam Solutions) is seeking a highly motivated experienced Google Cloud Engineer/Architect to lead their cloud transformation initiatives. The role involves working with a team to modernize applications, implement data analytics solutions, and explore AI/ML capabilities.
Responsibilities:
• Design, develop, and deploy cloud-native solutions on Google Cloud Platform (GCP) to support data analytics, application modernization, and AI/ML initiatives.
• Migrate legacy applications to modern cloud architectures using services like Compute Engine, Kubernetes Engine(GKE), App Engine, and Cloud Functions.
• Build and maintain scalable data pipelines using BigQuery, Dataflow, and Dataproc.
• Develop and deploy machine learning models using Vertex AI, including AutoML and custom model training.
• Implement and enforce security best practices across GCP services.
• Collaborate with stakeholders to gather requirements, present solutions, and ensure successful project delivery.
• Stay up to date on the latest GCP technologies and trends.
• Works with IT Architecture staff, CIO, software developers and IT Managers designing solutions that meet the agency’s requirements; assists in analysis of the solution design’s business case; authors’ portions of the solution business case.
• Assists with planning, configuration, and extension of MS Azure DevOps, V Net, AppService, App Proxy, Pipelines, and other PaaS offerings.
• Works within Agile principles and methodologies.
• Ensures current and/or future business process flows are defined and documented; conducts detailed alternative analyses and determines end-user requirement(s); consults with end-users, technicians, vendors, management, and others; leads design reviews; provides post-production support for applications varying in size, scope and impact to agency operations.
• Develops pass/fail testing criteria; assesses overall system performance, including optimizing code and identifying and resolving peripheral software/hardware conflicts; finalizes implementation of plans, procedures, and schedules; conducts lessons learned (testing perspective) and coordinates improvements to enterprise testing processes; understands technical environments and impacts on software execution to identify environmental components to be reviewed for adequacy.
• Core Services: Proficiency in Compute Engine, GKE, App Engine, Cloud Functions, BigQuery, Dataflow, Dataproc, Vertex AI.
• Advanced Skills: Experience with Cloud SQL, Apigee, API Gateway, security tools (IAM, Security Command Center), networking services (VPC, Cloud Load Balancing), Terraform, or Deployment Manager.
• Communication: Excellent written and verbal communication skills, with the ability to present technical information clearly to both technical and non-technical audiences.
• Collaboration: Strong teamwork and interpersonal skills, with the ability to work effectively with diverse stakeholders.
• Problem-Solving: Proven analytical and problem-solving abilities to troubleshoot issues and optimize cloud solutions.
Qualifications:
Required:
• 9plus years’ experience with software design, architecture, software development lifecycle methodologies, including modernizing legacy applications and application performance, profiling, and tuning.
• 5plus years Google Cloud Platform (GCP) expertise.
• Design, develop, and deploy cloud-native solutions on Google Cloud Platform (GCP) to support data analytics, application modernization, and AI/ML initiatives.
• Migrate legacy applications to modern cloud architectures using services like Compute Engine, Kubernetes Engine(GKE), App Engine, and Cloud Functions.
• Build and maintain scalable data pipelines using BigQuery, Dataflow, and Dataproc.
• Develop and deploy machine learning models using Vertex AI, including AutoML and custom model training.
• Implement and enforce security best practices across GCP services.
• Collaborate with stakeholders to gather requirements, present solutions, and ensure successful project delivery.
• Stay up to date on the latest GCP technologies and trends.
• Works with IT Architecture staff, CIO, software developers and IT Managers designing solutions that meet the agency’s requirements.
• Assists with planning, configuration, and extension of MS Azure DevOps, V Net, AppService, App Proxy, Pipelines, and other PaaS offerings.
• Works within Agile principles and methodologies.
• Ensures current and/or future business process flows are defined and documented.
• Conducts detailed alternative analyses and determines end-user requirement(s).
• Consults with end-users, technicians, vendors, management, and others.
• Leads design reviews; provides post-production support for applications varying in size, scope and impact to agency operations.
• Develops pass/fail testing criteria; assesses overall system performance, including optimizing code and identifying and resolving peripheral software/hardware conflicts.
• Finalizes implementation of plans, procedures, and schedules.
• Conducts lessons learned (testing perspective) and coordinates improvements to enterprise testing processes.
• Understands technical environments and impacts on software execution to identify environmental components to be reviewed for adequacy.
• Core Services: Proficiency in Compute Engine, GKE, App Engine, Cloud Functions, BigQuery, Dataflow, Dataproc, Vertex AI.
• Advanced Skills: Experience with Cloud SQL, Apigee, API Gateway, security tools (IAM, Security Command Center), networking services (VPC, Cloud Load Balancing), Terraform, or Deployment Manager.
• Communication: Excellent written and verbal communication skills, with the ability to present technical information clearly to both technical and non-technical audiences.
• Collaboration: Strong teamwork and interpersonal skills, with the ability to work effectively with diverse stakeholders.
• Problem-Solving: Proven analytical and problem-solving abilities to troubleshoot issues and optimize cloud solutions.
Preferred:
• Certification: Professional Cloud Architect or Professional Data Engineer strongly preferred.
Company:
Established in 1992, PSI (Proteam Solutions Inc) has grown from a one man start up to a multi-million dollar IT Consulting, Workforce Solutions and Enterprise Resource Solutions firm providing senior-level consulting and talent management solutions to both the Private and Public Sector. Founded in 1992, the company is headquartered in Columbus, USA, with a team of 11-50 employees. The company is currently Early Stage.