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Network Engineer

Location: Houston, TX Duration: 06 Months Contract Rate: DOE US Citizens and Green Cards, GC EAD and H4 EAD preferred. Primary responsibilities include installing and supporting LANs, WANs, network segments, Internet, and intranet systems. Install and maintain network hardware and software. Analyze and isolate issues. Monitor networks to ensure security and...

En Español:

Ingeniero de redes

Localización: Houston, TX Duración: 06 meses Tarifa de contrato: DOE US Citizens and Green Cards, GC EAD y H4 EAD preferidos. Las principales responsabilidades incluyen la instalación y soporte de LANs, WANs, segmentos de red, Internet e intranet sistemas. Instalar y mantener el hardware y software de red. Analizar y aislar los problemas. Monitorear las redes para garantizar la seguridad y...

","shortDescription","

Network Engineer

Location: Houston, TX Duration: 06 Months Contract Rate: DOE US Citizens and Green Cards, GC EAD and H4 EAD preferred....","promoted","title","Staffing the Universe is hiring: Network Engineer-Houston, TX in Houston","duration","","experienceLevel","displayThumbnail","location","locations",[64],"id",["B","3521585447"],"displayHeadline","Work at Staffing the Universe","category","displayPublishedAt","5 hours ago","displayUrl","/jobs/3521585447-staffing-the-universe-is-hiring-network-engineer-houston-tx-in-houston","shortTitle","Staffing the Universe is hiring: Network Engineer-Houston, TX in ...","shortLocation","Houston, TX, United States","searchCompanyPath","/jobs?keyword=Staffing+the+Universe","searchLocationPath","/jobs?location=Houston%2C+TX%2C+United+States","searchTitlePath","/jobs?keyword=Staffing+the+Universe+is+hiring%3A+Network+Engineer-Houston%2C+TX+in+...",{"_65":66,"_67":68,"_69":70,"_71":72,"_73":74},"country","United States","city","Houston","formatted","Houston, TX, United States, 77246","state","TX","postal_code","77246",["D",1777450615000],"Nerdleveltech","

Remotefull time2 days ago### NLT AI SummaryBuild and maintain scalable distributed systems for a fast-growing fintech platformPythonKubernetesPostgreSQLReactCompetitive salary with equity package4-day work week, visa sponsorship availableThis a Full Remote job, the offer is available from: Illinois (USA) Role: Machine Learning Engineer/SRE Location: Chicago, IL or 100% Remote Duration: 12 Months Rate: DOE US Citizens and Green cards are Preferred. No 3rd party corp to corp Job Description: We are seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models. In this role, you will be an integral part of our AI Engineering and Site Reliability Engineering (SRE) teams, responsible for managing Azure infrastructure for AI model development and deployment, monitoring and reporting model performance, and responding to outages/incidents related to model operations. Key Responsibilities: • Manage Azure Infrastructure: Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance. • Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise. • Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution. Skills and Qualifications: • Azure Infrastructure Experience: Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment. • CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes. • Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models. • Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various Client algorithms and frameworks. • Programming Skills: Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch. • Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning. • Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs. • Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses. Preferred Qualifications: • Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning). • Experience with CI/ CD tools to deploying Client services and applications specific to Azure cloud platform • Familiarity with DevOps practices and tools for automating infrastructure and deployments. • Knowledge of model versioning and model management tools. • Understanding of security best practices in AI model deployment. • Certifications in relevant areas, such as Azure certifications or machine learning certifications. Job titles of folks with these skills may vary - e.g. MLOps Lead, MLOps Solution/Delivery Architect or Senior Client Engineer This offer from \"Georgia IT, Inc.\" has been enriched by Jobgether.com and got a 72% flex score. Apply tot his job Apply tot his job Apply tot his jobvia JSearch# Machine Learning Engineer/SRE-100% RemoteHirezaSign up free to unlock AI summariesGet instant AI insights for every job — key skills, salary signals, red flags, and standout perks## Job SummaryCompany: HirezaLocation: RemoteJob Type: full timeCategory: devops-sysadminPosted: 2 days ago
#J-18808-Ljbffr

","

Remotefull time2 days ago### NLT AI SummaryBuild and maintain scalable distributed systems for a fast-growing fintech platformPythonKubernetesPo...","Machine Learning Remote Job at Nerdleveltech in Chicago",[88],["B","3521621731"],"Work at Nerdleveltech","/jobs/3521621731-machine-learning-remote-job-at-nerdleveltech-in-chicago","Chicago, IL, United States","/jobs?keyword=Nerdleveltech","/jobs?location=Chicago%2C+IL%2C+United+States","/jobs?keyword=Machine+Learning+Remote+Job+at+Nerdleveltech+in+Chicago",{"_65":66,"_67":89,"_69":90,"_71":91,"_73":92},"Chicago","Chicago, IL, United States, 60290","IL","60290",["D",1777450614000],"Remotefull time2 days ago### NLT AI SummaryBuild and maintain scalable distributed systems for a fast-growing fintech platformPythonKubernetesPostgreSQLReactCompetitive salary with equity package4-day work week, visa sponsorship availableThis a Full Remote job, the offer is available from: Illinois (USA) Role: Machine Learning Engineer/SRE Location: Chicago, IL or 100% Remote Duration: 12 Months Rate: DOE US Citizens and Green cards are Preferred. No 3rd party corp to corp Job Description: We are seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models. In this role, you will be an integral part of our AI Engineering and Site Reliability Engineering (SRE) teams, responsible for managing Azure infrastructure for AI model development and deployment, monitoring and reporting model performance, and responding to outages/incidents related to model operations. Key Responsibilities: • Manage Azure Infrastructure: Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance. • Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise. • Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution. Skills and Qualifications: • Azure Infrastructure Experience: Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment. • CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes. • Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models. • Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various Client algorithms and frameworks. • Programming Skills: Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch. • Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning. • Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs. • Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses. Preferred Qualifications: • Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning). • Experience with CI/ CD tools to deploying Client services and applications specific to Azure cloud platform • Familiarity with DevOps practices and tools for automating infrastructure and deployments. • Knowledge of model versioning and model management tools. • Understanding of security best practices in AI model deployment. • Certifications in relevant areas, such as Azure certifications or machine learning certifications. Job titles of folks with these skills may vary - e.g. MLOps Lead, MLOps Solution/Delivery Architect or Senior Client Engineer This offer from \"Georgia IT, Inc.\" has been enriched by Jobgether.com and got a 72% flex score. Apply tot his job Apply tot his job Apply tot his jobvia JSearch# Machine Learning Engineer/SRE-100% RemoteHirezaSign up free to unlock AI summariesGet instant AI insights for every job — key skills, salary signals, red flags, and standout perks## Job SummaryCompany: HirezaLocation: RemoteJob Type: full timeCategory: devops-sysadminPosted: 2 days ago
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HirezaLocation:

RemoteJob Type:

full timeCategory:

devops-sysadminPosted:

2 days ago
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Machine Learning Engineer/SRE

Location: Chicago, IL or Remote

Duration: 12 Months

Rate: DOE

US Citizens and Green cards & GC-EAD Only. No Third-party C2C available for this job

Job Description

We are seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models.

En Español:

Ingeniero de aprendizaje automático/SRE

Ubicación: Chicago, IL o Remote

Duración: 12 meses

Rate: DOE

Los ciudadanos de los Estados Unidos y las tarjetas verdes y GC-EAD solamente.

Descripción del trabajo: Buscamos un ingeniero de aprendizaje automático altamente calificado y motivado que posea experiencia en el desarrollo, despliegue y gestión de modelos de machine learning.

","

Machine Learning Engineer/SRE

Location: Chicago, IL or Remote

Duration: 12 Months

Rate: DOE

US Citizens and Green ...","Machine Learning Engineer/SRE-Remote Job at Staffing the Universe in Chicago",[118],["B","3521605016"],"/jobs/3521605016-machine-learning-engineer-sre-remote-job-at-staffing-the-universe-in-chicago","Machine Learning Engineer/SRE-Remote Job at Staffing the Universe...","/jobs?keyword=Machine+Learning+Engineer%2FSRE-Remote+Job+at+Staffing+the+Universe...",{"_65":66,"_67":89,"_69":90,"_71":91,"_73":92},211,"name","Mansueto Ventures","agency","logo","https://production-rails-default.s3.us-east-2.amazonaws.com/public/legacy-logos/109473.JPG","slug","mansueto-ventures-careers","

Mansueto Ventures is home to two of the most iconic and vibrant brands in business publishing: Inc. and Fast Company. Every day, the content, awards, and events produced help entrepreneurs and innovators succeed by providing useful insights, sparking essential conversations, and offering much-needed inspiration.

Inc. is the voice of the American entrepreneur, inspiring and documenting the risk-takers and ultra-driven go-getters who represent the most dynamic force in the American economy.
Fast Company is the world’s leading business media brand, focusing on innovation in technology, leadership, and design to inspire readers to shape the future of business.

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Location: Chicago, IL or Remote
Duration: 12 Months
Rate: DOE
US Citizens and Green cards & GC-EAD Only. No Third-party C2C available for this job
Job Description

We are seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models.","descriptionText","Staffing the Universe is hiring: Machine Learning Engineer/SRE-Remote in Chicago Staffing the Universe Machine Learning Engineer/SRE Location: Chicago, IL or Remote Duration: 12 Months Rate: DOE US Citizens and Green cards & GC-EAD Only. No Third-party C2C available for this job Job Description We are seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models.","Machine Learning Engineer/SRE

Location: Chicago, IL or Remote
Duration: 12 Months
Rate: DOE
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