Position SummaryWe are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible... Read more
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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Role Summary This role focuses on building and deploying machine learning solutions that improve personalization, recommendations, and customer... Read more
Role Summary
This role focuses on building and deploying machine learning solutions that improve personalization, recommendations, and customer experiences across entertainment and digital platforms. The engineer will work with large-scale customer data, develop ML models, create data pipelines, collaborate with data scientists and software engineers, and use experimentation (A/B testing) to improve model performance and user engagement.
Key Skills Required
Python programmingMachine Learning fundamentals (classification, regression, feature engineering, model evaluation)Scikit-learn, TensorFlow, or PyTorchSQL and large-scale data processingGit and software development best practicesData analysis and experimentationPreferred Skills
Recommendation systems and personalizationRanking algorithmsSpark/PySpark, Databricks, MLflowDocker and AWSA/B testing and model optimizationIdeal CandidateAn early-career ML Engineer (1 to 3 years of experience) who can transform machine learning research into production-ready solutions, work with large datasets, and help drive user engagement through data-driven recommendations.
GCS is acting as an Employment Business in relation to this vacancy.
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Hardware Design Engineer or PCB EngineerThe RoleThe team designs advanced phased-array antenna electronics for satellite communication systems, utilizing... Read more
Hardware Design Engineer or PCB Engineer
The Role
The team designs advanced phased-array antenna electronics for satellite communication systems, utilizing large, high-density multilayer PCBs with thousands of components, custom silicon devices, and high-speed digital interfaces operating at multi-gigabit data rates. Boards are being fabricated at a pace that exceeds the design team's validation capacity, creating an opportunity for experienced hardware engineers to own board development and laboratory validation activities.
Key Responsibilities
Lead bring-up of newly fabricated boards, including power-on testing, subsystem checkout, debugging, and root-cause analysis.Plan and execute design verification and validation activities, including high-speed digital testing, power characterization, and functional verification, while documenting results to engineering standards.Collaborate closely with design engineers to identify issues and implement improvements in future board revisions.Contribute to schematic capture and PCB layout activities for next-generation hardware designs.Support downstream integration and testing teams by delivering validated hardware and assisting with measurement and debug activities.What We're Looking For
8+ years of board-level electrical design experience, including schematic capture, complex multilayer PCB design, power distribution, and sequencing.Strong hands-on laboratory skills with expertise in board bring-up, debugging, validation, and use of oscilloscopes, logic analyzers, protocol analyzers, and high-speed test equipment.Experience with high-speed digital interfaces and multi-gigabit serial communications (e.g., PCIe, Ethernet, DDR, JESD204) along with signal integrity and power integrity considerations.Full product lifecycle experience from design and manufacturing through bring-up, validation, and production support.Bachelor's or Master's degree in Electrical Engineering, or equivalent industry experience.Nice to Have
Experience in satellite, aerospace, or other high-reliability electronic systems.Exposure to phased-array, RF, or radar hardware.Experience working with custom ASICs, SoCs, FPGAs, and embedded hardware platforms.Familiarity with Python-based test automation and laboratory scripting.GCS is acting as an Employment Business in relation to this vacancy.
Read lessOrlando, Florida, United States of AmericaContract
About the ProjectJoin an advanced satellite communications program focused on developing next-generation phased-array payload electronics for low Earth... Read more
Join an advanced satellite communications program focused on developing next-generation phased-array payload electronics for low Earth orbit (LEO) connectivity systems. This role supports the design and development of complex digital signal chain hardware that enables high-speed communication across satellite platforms.
The FPGA Engineer will be responsible for designing and integrating programmable logic solutions that interface with custom silicon, beamforming devices, modems, and network processors. The position combines FPGA development with hands-on hardware integration and validation in a fast-paced engineering environment.
Key ResponsibilitiesDesign, develop, and integrate FPGA-based solutions for phased-array communication systems.Create RTL for data movement, control, monitoring, and integration functions within the digital signal chain.Implement and validate high-speed FPGA interfaces, including multi-gigabit SerDes and JESD-class communication links.Perform timing closure, constraints development, optimization, and build management to ensure reliable hardware performance.Support FPGA bring-up, debugging, and validation on newly developed hardware platforms.Work alongside hardware engineers to troubleshoot system-level issues using JTAG, on-chip logic analyzers, and laboratory test equipment.Develop diagnostic and monitoring capabilities, including error detection, status reporting, and debug infrastructure.Participate in system integration, testing, and validation activities.Collaborate with multidisciplinary engineering teams to deliver project milestones.Produce and maintain design documentation and technical deliverables.What You'll Be Working OnYou will develop FPGA functionality that supports data flow across advanced phased-array electronics, enabling communication between processing devices, modems, beamforming hardware, and antenna systems. The role requires a combination of strong FPGA design expertise and hands-on lab experience to ensure high-speed interfaces perform reliably in real hardware environments.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessOrlando, Florida, United States of AmericaContract
We're looking for a hands-on Electrical Engineer who thrives in the lab and enjoys solving problems where failure... Read more
We're looking for a hands-on Electrical Engineer who thrives in the lab and enjoys solving problems where failure isn't an option.
This is an opportunity to work on advanced satellite communication hardware built around custom silicon, high-speed digital architectures, and complex phased-array systems. You'll be responsible for transforming newly manufactured boards into flight-ready hardware through bring-up, validation, root-cause analysis, and relentless debugging.
If you're the engineer who gets called when a board won't boot, a high-speed link won't train, or a power rail doesn't behave as expected, we want to talk to you.
What You'll OwnLead first-time bring-up of complex satellite electronics and high-performance digital hardware.Power-on, debug, and validate newly fabricated boards.Investigate and resolve electrical, signal integrity, power integrity, and system-level issues.Execute validation plans covering functionality, performance, reliability, and high-speed interfaces.Drive hardware improvements by partnering directly with design engineers on future revisions.Support integration and test activities across multidisciplinary engineering teams.Deliver thoroughly validated hardware ready for downstream system and antenna testing.Influence next-generation designs through hands-on engineering feedback.The HardwareYou'll work with:
Dense multilayer PCB designsCustom ASIC-based platformsHigh-speed serial interfacesAdvanced communication systemsLarge-scale phased-array electronicsMulti-gigabit networking architecturesMission-critical hardware operating in demanding environmentsWhat We're Looking ForRequired
8+ years of hardware-focused Electrical Engineering experience.Demonstrated experience designing and debugging complex PCBs.Strong expertise in board bring-up, validation, and root-cause analysis.Deep familiarity with:DDRPCIeJESD204Ethernet (25G+)SerDes-based architecturesExtensive hands-on use of:OscilloscopesLogic analyzersProtocol analyzersHigh-speed test equipmentExperience supporting products from concept through manufacturing.Preferred
Satellite, spacecraft, launch vehicle, aerospace, defense, or other mission-critical hardware experience.Phased-array, radar, communications, or RF systems exposure.ASIC, SoC, or FPGA-based hardware platforms.Python-based lab automation.Experience working in fast-paced development environments where hardware ships quickly and ownership is expected.Ideal BackgroundsWe'd especially love to hear from engineers who have worked on:
Satellite systemsBroadband space networksSpacecraft avionicsLaunch vehicle electronicsFlight hardwareDefense communications systemsAdvanced networking hardwareHigh-performance computing platforms
GCS is acting as an Employment Business in relation to this vacancy.
Read lessOrlando, Florida, United States of AmericaContract
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