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Global Campaign Project Manager

Location: 100% Remote
Contract: 12+ Months

Overview

We are seeking a Global Campaign Project Manager to support a leading global payments organization. This role is responsible for project planning, governance, dependency management, resource coordination, and operational oversight across SMB Marketing initiatives. The focus is on ensuring projects are planned, tracked, resourced, and delivered successfully across multiple teams.

Required Qualifications5+ years of Project Management experience supporting marketing, digital, or cross-functional business initiativesMust have FinTech, Payments, Banking, or Financial Services industry experienceProven experience managing large-scale, cross-functional projects with multiple stakeholdersStrong background in project planning, timeline management, risk mitigation, and dependency trackingExperience with Wrike (preferred) or similar project/work management toolsExpertise in executive reporting, dashboards, RAID logs, and portfolio reportingStrong communication and stakeholder management skillsKey ResponsibilitiesDevelop and maintain project plans, timelines, milestones, and dependenciesCoordinate work across Campaign Activation, Marketing Automation, Insights, Data Operations, Digital Experience, agencies, and other stakeholdersLead project kickoffs, status meetings, and stakeholder reviewsIdentify risks, bottlenecks, and resource constraints and drive resolutionMaintain project dashboards, status reports, and governance documentationServe as the primary owner of project visibility and compliance within WrikeSupport resource planning, capacity management, and workload forecastingDrive operational excellence through standardized project management processes and reportingWhat You'll OwnProject planning and execution oversightTimeline and dependency managementResource coordination and capacity planningRisk and issue managementStakeholder communicationWrike governance and reportingPortfolio visibility and operational transparency

Required: Prior experience in FinTech, Payments, Banking, or Financial Services environments.

GCS is acting as an Employment Business in relation to this vacancy.

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Advertising ML Engineer

Remote (USA)

About the Role

We are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.

The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.

Key ResponsibilitiesDevelop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.Build scalable data pipelines for feature engineering, model training, evaluation, and inference.Collaborate with data scientists and software engineers to transition research and prototypes into production systems.Improve recommendation and ranking models using large-scale behavioral and engagement data.Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.Write clean, maintainable, and efficient Python code following software engineering best practices.Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.1-3 years of relevant experience, including internships, research, academic projects, or professional experience.Strong programming skills in Python.Solid understanding of machine learning fundamentals, including:Supervised learningClassification and regressionFeature engineeringModel evaluation and validationExperience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.Strong analytical and problem-solving skills.Why Join Us?Work on machine learning products that impact large-scale user experiences.Collaborate with highly skilled engineers, data scientists, and researchers.Gain hands-on experience deploying production-grade machine learning solutions.Grow your expertise in modern ML technologies and scalable systems.Flexible remote work environment with opportunities for learning and career development.

GCS is acting as an Employment Business in relation to this vacancy.

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Client - Telecom

Duration - 12+ months

Position - Hybrid (4 Days on site)

Job Summary:

We are seeking a highly Field Engineer III to join our remote network surveillance and troubleshooting team supporting the company's 5G RAN network. This on-site role focuses on monitoring, testing, maintaining, and restoring the 5G RAN network. The ideal candidate will lead Tier II field diagnostics, outage restoration, and mentor Tier I NOC staff while supporting new 5G site deployments and fronthaul transport initiatives.

Key Responsibilities:

Provide on-site operational support to detect incidents, troubleshoot problems, and implement resolutions for deployed 5G Core, RAN, Transport, and other network systems nationwide.Quickly analyse RAN service and system issues, determine corrective actions, implement service restoration steps, and escalate complex issues as needed.Document corrective actions in ticketing systems and ensure proper escalation processes.Contribute to process improvement initiatives, identify automation opportunities, and improve overall service uptime and customer experience.Support high-stress network outage situations, collaborating with Tier II engineers, Tier I technicians, field operations, vendors, and executive leadership.Engage internal and vendor support teams to resolve critical or time-sensitive network impairments.Collect traces for network faults using vendor-specific tools and network probes.Develop and update technical documentation, including troubleshooting guides, MOPs (Method of Procedure), and technical specifications for system changes.Assist stakeholders in defining business and system requirements for new technology deployments.Support ongoing CI/CD, orchestration, and automation initiatives for network operations.Conduct semi-annual and annual site maintenance and document all activities accurately.Provide incident reviews, root cause analysis, and lessons learned to improve network reliability and processes.

Qualifications:

Must be able to work on-site in the Atlanta market.OSHA 10 Certified & RF Awareness.Samsung Wireless 5G Deployment and Integration certification (Radio & CUDU) - Highly Desired.Minimum 2 years of experience in Transport Knowledge and Troubleshooting (Backhaul, Fronthaul).Experience performing construction site pre-walks and evaluating operational safety.Proficient in alarm monitoring, fault identification, event tracking, documentation, and escalation.Ability to perform in high-stress environments and manage urgent issues with professionalism.Strong communication skills, both verbal and written, with the ability to convey technical and non-technical concepts effectively.Extensive knowledge of computer systems, network monitoring applications, OSI layers, and electronic test equipment.Advanced understanding of cell site topology, transport systems, RF KPIs, and 5G RAN split functions (RU, DU, CU, CP, UP, 7-2x).Ability to read and interpret RAN artifacts, CIQs, network diagrams, call flow documents, and deployment MOPs.Experience creating root cause analyses (RCAs) and reporting to executive leadership.Ability to quickly learn new tools and systems and multitask effectively.

Preferred Certifications:

First Aid/CPRCPI Certified

GCS is acting as an Employment Business in relation to this vacancy.

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