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Role :- Machine Learning Engineer

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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Job Title: Network Engineer

Company: Telecom

Contract: 12+ Months

Role- Hybrid- 4 days onsite in a week

Job Description

A telecom network is seeking an experienced Network Engineer to support lab‑based testing, configuration, and validation of network technologies that power our nationwide infrastructure. This role focuses heavily on backup connectivity solutions using Cradlepoint, integration with LTE networks, and hands on work with SD‑WAN Versa or any similar products and next‑generation firewalls like Palo Alto, Fotigate or any other devices.. You'll work within a lab environment to test, optimize, and validate network designs that enhance reliability, performance, and scalability across Comcast's edge and customer‑facing networks. This includes supporting traditional and next‑gen network hardware, enabling faster speeds, improved resiliency, and enhanced customer experience.

Responsibilities

Configure, test, and validate Cradlepoint devices for backup connectivity and LTE network integration.Perform hands‑on configuration of IP routers, switches, telephony CPE, and Cradlepoint hardware.Design, configure, and deploy LAN/WAN network connections, including hardware, software, and communication services.Support and troubleshoot SD‑WAN Versa deployments in a lab environment.Work with next‑generation firewalls for configuration, testing, and policy validation.Optimize network and system performance; identify and resolve performance bottlenecks.Support traditional analog and digital network hardware as needed.Monitor and maintain network infrastructure to meet Comcast standards for reliability and performance.Participate in lab testing cycles, documentation, and validation of new network solutions.Collaborate with engineering teams to support edge compute and network intelligence initiatives.

Required Skills & Experience

5-8 years of hands‑on experience with Cisco and Juniper routers.Strong knowledge of internetworking design, routing, and backup connectivity solutions (Cradlepoint preferred).Solid understanding of Layer 2 and Layer 3 technologies.Deep experience with routing protocols such as BGP, MPLS, OSPF.Hands‑on experience with SD‑WAN technologies, preferably Versa.Experience with next‑generation firewalls such as:Cisco ASAPalo AltoFortinet / FortiGateJuniper SRXCheck Point NG

Qualification

Experience building, replacing, and validating system hardware in a lab environment.Exposure to network automation, scripting, or risk‑management practices.Familiarity with LTE/5G connectivity and wireless backup solutions.

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

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