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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)

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Hiring Alert!

Role: PLC Technician

About the Role

We are seeking curious, hands-on Electrical or Electronics Engineering graduates who enjoy solving real-world technical problems and making physical systems work. This is an excellent opportunity for early-career engineers and technologists who have a strong foundation in electrical systems, some exposure to programming, and a passion for troubleshooting, automation, controls, and hardware integration.

Key Responsibilities

Translate electrical drawings and I/O lists into application configurationsTest configurations in simulation and on real hardware - EtherCAT devices, motorised rollers, sensors, safety I/OSupport commissioning on site as buildings go liveDocument findings, test results, and technical recommendations.Support continuous improvement initiatives and engineering projects.

Required Qualifications

Graduate Degree or Diploma in one of the following:Electrical EngineeringElectrical Engineering TechnologyMechatronics EngineeringElectromechanical EngineeringEquivalent technician or technology programGraduation year between 2022 and 2026

Experience in one or some of the following technologies:PythonMATLABArduino programmingRaspberry Pi projectsLadder Logic / PLC programmingC/C++ or other programming languages

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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 experimentation

Preferred Skills

Recommendation systems and personalizationRanking algorithmsSpark/PySpark, Databricks, MLflowDocker and AWSA/B testing and model optimization

Ideal 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.

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Role:-System AdministratorLocations: Dallas,TX

Contract:12+ months
Start Date: Immediate

About the Role

We are seeking a hands-on System Administrator to support a live broadcast production environment. This role focuses on Linux server patching, cybersecurity vulnerability remediation, system maintenance, and production support within a mission-critical infrastructure environment.

Key ResponsibilitiesPerform Linux server patching, maintenance, reboots, and post-patch validation.Review and remediate cybersecurity vulnerabilities.Troubleshoot Linux systems, applications, and networking issues.Coordinate production changes with senior engineering teams.Document remediation activities and system updates.Support occasional Windows server patching and vendor application upgrades.Required Skills4-7 years of hands-on Linux systems administration experience.Strong experience with server patching and vulnerability remediation.Ability to troubleshoot in complex production environments.Experience working within change management and operational procedures.Strong communication and documentation skills.Preferred SkillsRocky Linux, CentOS, or RHEL.AWS/EC2 exposure.Bash, Python, or other scripting experience.Grafana, Splunk, Dynatrace, or similar monitoring tools.Experience supporting broadcast, media, streaming, or high-availability environments.

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Job Title: Senior FPGA Design Engineer

About The Program:

Our client is building one of the world's largest low-Earth-orbit satellite constellations, delivering broadband internet from space. The hardware team behind it designs the electronics that drive the satellites' phased-array antennas: meter-scale, 20+ layer boards carrying custom silicon connected by ~25 Gbps high-speed serial links. Boards are designed, brought up, and validated in-house - engineers on this team see their own work running on real flight hardware.

The Role:

You will own programmable logic in the phased-array signal chain on AMD/Xilinx Versal devices - designing and integrating high-rate datapaths between the board's custom silicon, configuring and debugging multi-gigabit transceiver links, and bringing your logic up on brand-new boards in the lab alongside the electrical engineering team. This is a hands-on design-and-hardware seat: your deliverables run on real boards headed for orbit, not in a simulation environment.

What You'll Do:

Design, integrate, and debug RTL for high-speed datapaths on Versal ACAP devices.

Configure and bring up GTY transceivers - link tuning, eye scans, and debug of live 25 Gbps-class serial links.

Configure MRMAC hard IP for multi-rate Ethernet (25G / 50G / 100G) and validate high-rate traffic end to end.

Build and maintain embedded Linux (PetaLinux/Yocto) images, device trees, and drivers for the Versal processing system.

Bring up your logic on first-article boards in the lab - JTAG, ILA, and bench instrumentation - working shoulder to shoulder with board design engineers.

Build debug and monitoring hooks used across design validation campaigns.

Required Experience:

25G/50G/100G - Very high speed interfaces - hands-on design and bring-up at 25G / 50G / 100G.

MRMAC & GTY - Direct experience configuring MRMAC and GTY blocks - transceiver setup, tuning, and link debug on real hardware.

Versal ACAP - Working knowledge of the Versal ACAP architecture and toolchain (Vivado/Vitis).

Embedded Linux - Building images, device trees, and drivers for ARM-based FPGA processing systems (PetaLinux/Yocto).

8+ years of RTL design (Verilog/SystemVerilog/VHDL) shipped in real products, with timing closure on modern devices and genuine board bring-up experience.

Nice To Have:

JESD204, Aurora, or other high-speed converter/serial protocols.

Aerospace or high-reliability design exposure (DO-254, MIL-STD, radiation-aware design).

Prior satellite, SATCOM, radar, or high-speed networking product work.

Experience prototyping functions ahead of custom ASIC development.

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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OSP Engineer - Fiber Design & Planning

Design the Networks That Power Tomorrow

Client is seeking experienced OSP Engineers to support the design, planning, and engineering of advanced fiber optic network deployments across multiple markets.

If you enjoy solving complex network challenges, designing scalable fiber infrastructure, and working with cutting-edge telecommunications technologies, we'd love to hear from you.

What You'll Do

As an OSP Engineer, you'll be responsible for designing and supporting the development of fiber optic networks that connect businesses, communities, and critical infrastructure.

Key Responsibilities

Design OSP fiber routes and network infrastructure.Develop construction drawings and engineering packages.Create fiber assignments, splicing plans, and route documentation.Support permitting and utility coordination efforts.Perform capacity planning and network analysis.Collaborate with construction teams during deployment.Maintain GIS records and as-built documentation.Ensure designs comply with industry and company standards.

Required Qualifications

3+ years of OSP engineering or fiber network design experience.Experience designing FTTH, FTTX, Metro, or Backbone Fiber networks.Knowledge of fiber routing, allocation, and splicing concepts.Understanding of aerial and underground network design.Strong analytical and problem-solving skills.

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

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