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Role- PLC Developer

Location- Reston, VA
Job Type- Contract
Contract Duration- 12-Month Contract

About the Role

We are seeking PLC Developer to support the deployment, commissioning, maintenance, and troubleshooting of Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS) across mission-critical data center environments.

This is an excellent opportunity for controls, automation, instrumentation, HVAC, and electrical professionals looking to work on large-scale infrastructure projects in a rapidly growing data center sector.

Key ResponsibilitiesInstall, configure, and commission BMS and EPMS systems.Perform point-to-point testing of sensors, controllers, and HMIs.Troubleshoot controls, automation, and communication issues.Load software and configurations onto controllers, IPCs, and HMIs.Install, replace, calibrate, and validate field devices and sensors.Read and interpret electrical schematics, control drawings, and technical documentation.Support commissioning and integrated systems testing activities.Maintain system graphics, inventory records, and project documentation.Collaborate with engineers, contractors, vendors, and operations teams.Required Experience1-5+ years of experience in Controls, Automation, Instrumentation, HVAC Controls, BAS/BMS, Electrical Systems, or Industrial Automation.Experience commissioning, troubleshooting, and maintaining control systems.Strong understanding of mechanical, electrical, and controls fundamentals.Ability to read electrical schematics, wiring diagrams, and engineering drawings.Familiarity with low-voltage systems and industrial controls.Preferred QualificationsExperience with BMS/BAS platforms such as Tridium Niagara, Ignition, Schneider EBO, Siemens, Johnson Controls, or similar systems.Knowledge of BACnet, Modbus, MQTT, and TCP/IP networking.Experience in Data Centers, Healthcare, Power Generation, Water Treatment, Oil & Gas, Nuclear, or other Critical Facilities.Associate's Degree, Engineering/Automation Degree, Electrical License, HVAC License, or ISA Certification preferred.What We're Looking For

The ideal candidate has a balanced understanding of mechanical systems, electrical infrastructure, controls, and networking, and can work independently in a fast-paced critical facilities environment.

Apply If You Have Experience With

✅ Building Automation Systems (BAS/BMS)
✅ Industrial Controls & Automation
✅ PLCs, Sensors & Instrumentation
✅ Control Panels & Electrical Troubleshooting
✅ Commissioning & Startup Activities
✅ Critical Facility Operations

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Machine Learning Engineer - AI / Predictive Analytics

We're looking for a Machine Learning Engineer to join a growing AI/ML team working on predictive solutions for Comcast's construction organization.

The team is solving several interesting problems with machine learning-from predicting construction timelines and permitting delays to forecasting project costs and exploring automated construction design.

This is a hands-on role for someone who enjoys data, feature engineering, predictive modeling, experimentation, and production ML.

What You'll Be Working On

Predicting Construction Timelines
Improve an existing model that predicts how long construction jobs will take.

Predicting Permit Timelines
Build a model to estimate how long government permitting may take based on historical patterns and other predictive features.

Predicting Construction Costs
Use four years of historical labor and material expense data to predict the expected cost of future construction jobs.

Automating Construction Design
Explore machine learning approaches to help determine things such as where trenches should go, how many poles may be needed, and where cables should be placed.

ResponsibilitiesBuild, deploy, and improve machine learning models.Perform feature engineering on historical and operational data.Investigate model accuracy and identify opportunities for improvement.Build pipelines for recurring model retraining.Develop features that capture historical trends and changing behavior over time.Experiment with different predictive modeling approaches.Evaluate model performance and investigate errors.Work with production ML systems and data pipelines.Collaborate with other ML and engineering team members.Help move new ML concepts from experimentation into production.Required / Desired ExperienceMachine Learning Engineering experience.Predictive modeling experience.Strong Python.Experience with XGBoost, LightGBM, or other boosting algorithms.Feature engineering.Model evaluation.Data pipeline development.Production ML experience.AWS.MLflow or comparable experiment tracking.Strong analytical and problem-solving skills.Technology Stack

Python | AWS | XGBoost | MLflow | DVC | FastAPI | HashiCorp Nomad

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Technical Project Manager - Digital Experience

Location: Philadelphia, PA | Hybrid

We are seeking an experienced Technical Project Manager to support the planning and delivery of large-scale digital initiatives. This individual will work across business, product, UX, design, development, and technology teams to coordinate projects, manage requirements, and ensure key deliverables are successfully delivered.

This role will support the development and launch of new digital capabilities and customer experiences for a major telecommunications organization. The ideal candidate will be comfortable managing complex projects, working with cross-functional stakeholders, and helping transform business objectives into actionable plans and deliverables.

What You'll DoManage projects and workstreams from planning and requirements through development, testing, deployment, and launch.Create and maintain project plans, timelines, milestones, dependencies, and deliverables.Partner with business and technical stakeholders to gather, define, and refine business and functional requirements.Work closely with Product, UX, Design, Development, Engineering, and other cross-functional teams.Coordinate activities across multiple teams and ensure work is progressing according to established timelines.Track project milestones, deliverables, risks, issues, and dependencies.Identify potential project risks and work with stakeholders to develop appropriate mitigation plans.Communicate project status, progress, risks, and issues to project teams and leadership.Help manage changes to project scope, requirements, timelines, and priorities.Coordinate project meetings and facilitate communication among internal teams and stakeholders.Ensure project documentation and requirements are clear, accurate, and available to the appropriate teams.Monitor project progress and help resolve issues that may impact delivery.Support continuous improvement efforts related to project delivery and team processes.Assist with resource planning and coordination to support project goals.Required QualificationsBachelor's degree in Business, Information Systems, Computer Science, or a related field, or equivalent professional experience.5+ years of experience in project management, program management, or a related role.Experience managing medium to large-scale technology, digital, or business initiatives.Experience working with cross-functional teams, including business and technical stakeholders.Strong experience managing project timelines, deliverables, risks, dependencies, and project communications.Experience gathering and managing business or functional requirements.Strong organizational, communication, and stakeholder management skills.Ability to manage multiple priorities in a fast-paced environment.Familiarity with project management tools and methodologies.Experience working in Agile or similar delivery environments.Preferred QualificationsExperience managing digital, web, mobile, customer experience, or technology initiatives.Experience working with UX, Design, Product, Development, or Engineering teams.Experience with Agile, Scrum, or Kanban methodologies.Experience using Rally, Jira, or similar project tracking tools.PMP, Scrum, Agile, or other project management certifications.Experience in telecommunications, technology, or a large enterprise environment.What We're Looking For

The ideal candidate is a highly organized and collaborative Project Manager who can bring structure and visibility to complex initiatives. You should be comfortable working with both business and technical teams, managing competing priorities, and ensuring projects move forward successfully.

While a technical background is beneficial, this role is primarily focused on project coordination, requirements management, stakeholder communication, and successful delivery. We are looking for someone who can effectively connect teams, manage the details, and keep complex initiatives on track.

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

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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.

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

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