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Web UI Developer

We are looking for a talented Web UI Developer to join our team and help create high-quality, engaging digital experiences for our customers.

In this role, you will work closely with designers, developers, QA teams, and project stakeholders to transform designs and business requirements into responsive, functional, and visually polished web experiences. You'll contribute throughout the development lifecycle-from design implementation and development through testing, optimization, and ongoing maintenance.

This is an excellent opportunity for an early-career developer who is passionate about front-end technologies, enjoys solving problems, and takes pride in creating exceptional user experiences.

What You'll Do

Convert UI and visual designs into clean, responsive, and pixel-perfect web experiences using HTML, CSS, and JavaScript.

Develop and maintain customer-facing websites, features, and digital experiences.

Collaborate with designers and project teams to ensure designs are accurately implemented.

Build new front-end features and enhance existing functionality.

Support website redesign, enhancement, and maintenance initiatives.

Work with a variety of CMS, eCommerce platforms, frameworks, and third-party tools.

Configure and manage plugins and integrations needed to support website functionality.

Participate in design, development, testing, QA, and release activities.

Troubleshoot technical issues, identify root causes, and implement fixes.

Ensure applications are optimized for performance, responsiveness, scalability, and usability.

Validate user input and support secure communication between front-end and back-end systems.

Participate in code reviews and contribute to coding standards and development best practices.

Identify project blockers and work collaboratively to develop creative solutions.

Stay current with evolving front-end technologies, tools, and industry trends.

What You'll Bring

Bachelor's degree in Computer Science, Web Development, Information Technology, or a related field, or equivalent practical experience.

Approximately 1-3 years of experience in web, UI, or front-end development.

Strong knowledge of HTML, CSS, and JavaScript.

Experience developing responsive websites and user interfaces.

Familiarity with modern web development practices and browser compatibility.

Experience or exposure to CMS and/or eCommerce platforms.

Understanding of software testing, debugging, and quality assurance practices.

Strong attention to detail, especially when translating visual designs into functional web experiences.

Ability to troubleshoot issues and develop effective solutions.

Strong communication and collaboration skills.

A creative mindset and willingness to learn new technologies.

Preferred Qualifications

Experience with modern JavaScript frameworks or libraries.

Familiarity with content management systems and eCommerce platforms.

Knowledge of responsive design and web accessibility principles.

Experience with Git or other version control tools.

Exposure to performance optimization and web application scalability.

Experience working in an Agile or collaborative development environment.

If you enjoy building polished, user-friendly web experiences and want to work on projects that directly impact how customers interact with a brand, we'd love to hear from you.

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

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Fiber Engineer

Location: Remote
Contract: 12+ Months

Overview

We are seeking an experienced Fiber Engineer to support fiber network testing, troubleshooting, and remediation activities across ISP and OSP environments. This role will focus on OTDR analysis, fiber characterization, bidirectional testing, and documenting findings to ensure network performance and reliability.

Required Qualifications5+ years of experience in Fiber Optics or TelecommunicationsExperience with ISP and OSP fiber networksStrong expertise with OTDR testing and troubleshootingExperience performing CD/PMD, bidirectional, and power meter/laser testingKnowledge of fusion splicing, fiber repair, and remediationExperience with fiber end-face inspection and cleaningProficiency with Microsoft Word and ExcelStrong communication, documentation, and problem-solving skillsAbility to travel as required for field workKey ResponsibilitiesPerform OTDR testing to validate fiber paths and identify faults, splices, bends, and signal lossConduct fiber characterization, bidirectional testing, and power/loss analysisTroubleshoot fiber network issues and recommend remediation solutionsPerform fusion splicing and fiber repairs as neededPrepare test reports, redlined fiber documentation, and demarcation mapsCoordinate with vendors, project managers, and internal teams to support project executionTravel to customer sites for testing, troubleshooting, and remediation activitiesWhat You'll OwnFiber testing and validationOTDR analysis and troubleshootingRemediation and fusion splicing activitiesTechnical reporting and documentationVendor and stakeholder communicationFiber network performance verificationDeliverablesOTDR, CD/PMD, and power/loss test reportsRedlined fiber path documentation and demarcation mapsDocumented remediation and retest resultsTest findings and recommendations shared with vendors and project stakeholders

Required: Prior experience in Fiber Testing, OTDR Analysis, ISP/OSP Networks, Fiber Characterization, and Telecommunications environments.

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

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Job Description:

A big enterprise customer in fullfillment center is seeking an experienced Technical Program Manager (TPM) or Senior Technical Program Manager (Sr. TPM) to lead execution of large-scale fiber deployment programs within the Global Connectivity Infrastructure Delivery - Fiber Deployment (GCID-FD) organization.

GCID-FD delivers the physical fiber infrastructure that connects AWS data centers globally, including underground conduit systems, fiber cable installation, splicing, testing, commissioning, and infrastructure handoff. This role is responsible for driving fiber capacity into service across the Americas, managing complex infrastructure programs from early site assessment through construction closeout and operational handoff.

The successful candidate will own cross-functional program execution, vendor management, quality control initiatives, risk mitigation, stakeholder communication, and delivery of critical network infrastructure supporting AWS's global operations.

Key Responsibilities

Lead end-to-end delivery of fiber deployment programs from planning through construction completion and handoff.Build and manage complex infrastructure programs, defining milestones, schedules, dependencies, and critical paths.Drive execution across multiple vendors, contractors, engineering teams, and stakeholders.Establish and maintain a standardized Quality Control (QC) framework, including pre-construction and post-construction inspections.Develop and manage vendor performance measurement programs using quality and delivery KPIs.Create and implement defect tracking, corrective action, and root cause analysis processes.Ensure infrastructure projects are delivered safely, on schedule, within scope, and to quality standards.Identify program risks, develop mitigation strategies, and proactively resolve execution challenges.Deliver consistent reporting, metrics, and executive-level program updates to GCID-FD leadership and stakeholders.Coordinate project closeout activities and ensure successful operational handoff of deployed infrastructure.

Required Qualifications

Experience managing large-scale physical infrastructure deployment programs.Proven ability to lead projects involving planning, vendor coordination, field execution, quality control, and project handoff.Demonstrated success building programs from the ground up, including:Defining project structures and governanceEstablishing milestones and schedulesIdentifying critical path dependenciesManaging risks and resolving execution challengesStrong vendor and contractor management experience.Track record of delivering complex programs through execution, not just planning.Excellent stakeholder management and communication skills.

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

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Machine Learning Engineer - Advertising & Personalization

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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Machine Learning Research 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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Job Title: Project Manager - Marketing OperationsAbout the Role

We are seeking an experienced Project Manager - Marketing Operations to support a fast-paced global marketing organization within the financial technology and payments industry. This role is responsible for the operational planning, coordination, tracking, and governance of global marketing initiatives and campaigns, ensuring projects are delivered on time and aligned across multiple cross-functional teams.

This is not a campaign strategy or execution role. Instead, you will serve as the operational lead responsible for project planning, timeline management, dependency tracking, resource coordination, risk management, stakeholder communication, and work management governance within Wrike.

The ideal candidate has experience supporting marketing operations, campaign operations, integrated marketing, or marketing program management within a large enterprise environment and is comfortable managing complex, cross-functional initiatives.

Key Responsibilities

Develop and manage project plans, timelines, milestones, and schedules for global marketing initiatives, integrated campaigns, and marketing programs.

Coordinate cross-functional teams across marketing, creative, digital experience, marketing automation, analytics, data operations, commerce, solution architecture, and external partners to ensure projects progress according to plan.

Lead project kickoffs, planning meetings, status meetings, stakeholder reviews, and project governance discussions.

Track project progress, communicate updates, and provide regular status reporting to stakeholders and leadership.

Identify, manage, and resolve project dependencies across multiple teams, systems, vendors, and business functions.

Proactively identify project risks, bottlenecks, and delivery challenges, escalating issues and facilitating resolution when needed.

Maintain RAID logs, dashboards, project documentation, status reports, and executive updates.

Ensure projects follow established governance processes, approval workflows, and project management standards.

Serve as the primary owner of project visibility and work management governance within Wrike.

Maintain accurate project plans, timelines, assignments, statuses, and documentation within project management platforms.

Monitor team capacity, workload distribution, resource utilization, and delivery risks across marketing teams.

Partner with team leaders to identify resource constraints and recommend adjustments to priorities, timelines, and resource allocation.

Drive continuous improvement of project management processes, reporting, workflows, and operational efficiency.

Promote standardized project intake, prioritization, planning, reporting, and delivery practices.

Required Qualifications

Bachelor's degree or equivalent professional experience.

5+ years of experience in Marketing Project Management, Marketing Operations, Campaign Operations, Marketing Program Management, or Project Management supporting digital marketing or cross-functional business initiatives.

Experience managing multiple concurrent projects, campaigns, or business initiatives within a fast-paced enterprise environment.

Strong understanding of project management methodologies, project lifecycle management, governance, and operational best practices.

Experience using project and work management platforms such as Wrike, Workfront, Asana, Monday.com, Jira, or Smartsheet (Wrike preferred).

Excellent organizational, communication, stakeholder management, and facilitation skills.

Proven ability to manage competing priorities, dependencies, risks, timelines, and deliverables across multiple teams.

Strong analytical and problem-solving skills with experience preparing dashboards, reports, and executive-level project updates.

Preferred Qualifications

Experience supporting global marketing organizations within fintech, payments, financial services, SaaS, or technology industries.

Experience with campaign operations, marketing automation, lifecycle marketing, digital marketing workflows, or integrated marketing programs.

Experience with resource planning, capacity management, portfolio reporting, and project governance.

Familiarity with tools such as Salesforce, marketing automation platforms, CRM systems, or enterprise marketing technology ecosystems.

PMP, CAPM, Agile, Scrum, or similar project management certification is a plus.

What You'll Bring

Exceptional project planning, organization, and execution skills.

Strong attention to detail and operational discipline.

Ability to influence cross-functional teams without direct authority.

Excellent communication skills with the ability to work with both business teams and leadership.

Experience managing complex initiatives across multiple stakeholders and workstreams.

A proactive approach to identifying risks, solving problems, improving processes, and driving projects to successful completion.

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

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Position Summary

We are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment.

The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.

Key Responsibilities

Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.Work with large structured and unstructured datasets to derive actionable insights and improve model performance.Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.Support the integration of machine learning models into enterprise applications and workflows.Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.Explore and implement Large Language Model (LLM) solutions where applicable.Participate in model evaluation, performance tuning, and continuous improvement initiatives.

Required Qualifications

5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.Strong programming expertise in Python.Hands-on experience with PySpark and large-scale data processing.Experience developing machine learning models using Scikit-learn.Strong background in data analysis, feature engineering, and statistical modeling.Experience building and maintaining MLOps pipelines and model deployment workflows.Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.Experience working within AWS cloud environments.Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.Strong problem-solving and communication skills.

Preferred Qualifications

Experience developing Neural Network models using frameworks such as PyTorch or TensorFlow.Experience with workflow orchestration and pipeline management tools.Exposure to predictive AI solutions and advanced forecasting models.Knowledge of distributed machine learning and scalable AI infrastructure.Experience supporting enterprise-scale machine learning deployments.

Technical Environment

PythonPySparkScikit-learnAWSMLOpsLarge Language Models (LLMs)Machine Learning PipelinesPredictive AnalyticsNeural Networks (Preferred)PyTorch / TensorFlow (Preferred)

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

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The Project Manager - Commercialization (PCM) is responsible for leading the end-to-end delivery of product commercialization initiatives within the organization. This role plays a critical part in executing strategic projects across the North America portfolio, ensuring successful product launches and changes from concept through post-launch review.

The PCM drives cross-functional collaboration across R&D, Marketing, Sales, Finance, Operations, and Supply Chain to ensure projects are delivered on time, within budget, and aligned with business objectives. Strong leadership, communication, and influencing skills are essential to align stakeholders and deliver market success.

Key Responsibilities

Lead end-to-end commercialization projects, from ideation and development to market launch and post-launch evaluationDrive the stage-gate process, ensuring timely decisions on project progression, risks, and mitigation strategiesManage project timelines, budgets, and deliverables to meet business expectationsCollaborate cross-functionally with R&D, Marketing, Operations, Procurement, Quality, and Finance teamsIdentify, assess, and communicate project risks to leadership; develop mitigation plans to address challengesTrack key performance metrics and monitor project progress, making data-driven adjustments where requiredLead and motivate cross-functional teams to deliver high-quality outcomesEnsure operational, technical, and quality standards are maintained throughout the commercialization processFoster continuous improvement by identifying opportunities to enhance processes and speed-to-marketInfluence stakeholders and negotiate effectively to achieve aligned project outcomes

Required Skills & Qualifications

3+ years of experience managing projects, preferably in product commercializationProven experience in product development and commercialization, ideally within CPG or food & beverage industriesPMP certification or equivalent project management certification preferredStrong cross-functional leadership and collaboration skillsExcellent stakeholder management and negotiation abilitiesStrong analytical and problem-solving skills with a data-driven approachSolid business acumen and understanding of brand and category strategiesExceptional verbal and written communication skillsAbility to manage multiple priorities and work in a fast-paced environmentGrowth mindset with a passion for continuous learning and improvement

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

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

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

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